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README.md
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---
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-
library_name: vllm
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language:
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- en
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- fr
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- hi
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- bn
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license: apache-2.0
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inference: false
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base_model:
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-
- mistralai/
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extra_gated_description: >-
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If you want to learn more about how we process your personal data, please read
|
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our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
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-
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-
- mistral-common
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---
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38 |
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-
#
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Devstral is an agentic LLM for software engineering tasks built under a collaboration between [Mistral AI](https://mistral.ai/) and [All Hands AI](https://www.all-hands.dev/) 🙌. Devstral excels at using tools to explore codebases, editing multiple files and power software engineering agents. The model achieves remarkable performance on SWE-bench which positionates it as the #1 open source model on this [benchmark](#benchmark-results).
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### Local inference
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The model can also be deployed with the following libraries:
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- [`vllm (recommended)`](https://github.com/vllm-project/vllm): See [here](#vllm-recommended)
|
108 |
- [`mistral-inference`](https://github.com/mistralai/mistral-inference): See [here](#mistral-inference)
|
109 |
- [`transformers`](https://github.com/huggingface/transformers): See [here](#transformers)
|
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-
- [`LMStudio`](https://lmstudio.ai/): See [here](#lmstudio)
|
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-
- [`llama.cpp`](https://github.com/ggml-org/llama.cpp): See [here](#llama.cpp)
|
112 |
- [`ollama`](https://github.com/ollama/ollama): See [here](#ollama)
|
113 |
|
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### OpenHands (recommended)
|
116 |
|
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-
#### Launch a server to deploy Devstral
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|
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-
Make sure you launched an OpenAI-compatible server such as vLLM or Ollama as described above. Then, you can use OpenHands to interact with `Devstral
|
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|
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In the case of the tutorial we spineed up a vLLM server running the command:
|
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```bash
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</details>
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### vLLM (recommended)
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We recommend using this model with the [vLLM library](https://github.com/vllm-project/vllm)
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print(response.json()["choices"][0]["message"]["content"])
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```
|
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### Mistral-inference
|
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|
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We recommend using mistral-inference to quickly try out / "vibe-check" Devstral.
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You can then prompt it with anything you'd like.
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### Transformers
|
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|
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To make the best use of our model with transformers make sure to have [installed](https://github.com/mistralai/mistral-common) ` mistral-common >= 1.5.5` to use our tokenizer.
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)
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from mistral_common.protocol.instruct.request import ChatCompletionRequest
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from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
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from huggingface_hub import hf_hub_download
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from transformers import AutoModelForCausalLM
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decoded_output = tokenizer.decode(output[len(tokenized.tokens):])
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print(decoded_output)
|
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-
```
|
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-
|
361 |
-
### LMStudio
|
362 |
-
Download the weights from huggingface:
|
363 |
-
|
364 |
-
```
|
365 |
-
pip install -U "huggingface_hub[cli]"
|
366 |
-
huggingface-cli download \
|
367 |
-
"mistralai/Devstral-Small-2505_gguf" \
|
368 |
-
--include "devstralQ4_K_M.gguf" \
|
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-
--local-dir "mistralai/Devstral-Small-2505_gguf/"
|
370 |
-
```
|
371 |
-
|
372 |
-
You can serve the model locally with [LMStudio](https://lmstudio.ai/).
|
373 |
-
* Download [LM Studio](https://lmstudio.ai/) and install it
|
374 |
-
* Install `lms cli ~/.lmstudio/bin/lms bootstrap`
|
375 |
-
* In a bash terminal, run `lms import devstralQ4_K_M.gguf` in the directory where you've downloaded the model checkpoint (e.g. `mistralai/Devstral-Small-2505_gguf`)
|
376 |
-
* Open the LMStudio application, click the terminal icon to get into the developer tab. Click select a model to load and select Devstral Q4 K M. Toggle the status button to start the model, in setting toggle Serve on Local Network to be on.
|
377 |
-
* On the right tab, you will see an API identifier which should be devstralq4_k_m and an api address under API Usage. Keep note of this address, we will use it in the next step.
|
378 |
-
|
379 |
-
Launch Openhands
|
380 |
-
You can now interact with the model served from LM Studio with openhands. Start the openhands server with the docker
|
381 |
-
|
382 |
-
```bash
|
383 |
-
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.38-nikolaik
|
384 |
-
docker run -it --rm --pull=always \
|
385 |
-
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.38-nikolaik \
|
386 |
-
-e LOG_ALL_EVENTS=true \
|
387 |
-
-v /var/run/docker.sock:/var/run/docker.sock \
|
388 |
-
-v ~/.openhands-state:/.openhands-state \
|
389 |
-
-p 3000:3000 \
|
390 |
-
--add-host host.docker.internal:host-gateway \
|
391 |
-
--name openhands-app \
|
392 |
-
docker.all-hands.dev/all-hands-ai/openhands:0.38
|
393 |
-
```
|
394 |
-
|
395 |
-
Click “see advanced setting” on the second line.
|
396 |
-
In the new tab, toggle advanced to on. Set the custom model to be mistral/devstralq4_k_m and Base URL the api address we get from the last step in LM Studio. Set API Key to dummy. Click save changes.
|
397 |
-
|
398 |
-
### llama.cpp
|
399 |
-
|
400 |
-
Download the weights from huggingface:
|
401 |
-
|
402 |
-
```
|
403 |
-
pip install -U "huggingface_hub[cli]"
|
404 |
-
huggingface-cli download \
|
405 |
-
"mistralai/Devstral-Small-2505_gguf" \
|
406 |
-
--include "devstralQ4_K_M.gguf" \
|
407 |
-
--local-dir "mistralai/Devstral-Small-2505_gguf/"
|
408 |
-
```
|
409 |
-
|
410 |
-
Then run Devstral using the llama.cpp CLI.
|
411 |
-
|
412 |
-
```bash
|
413 |
-
./llama-cli -m Devstral-Small-2505_gguf/devstralQ4_K_M.gguf -cnv
|
414 |
-
```
|
415 |
-
|
416 |
-
### Ollama
|
417 |
-
|
418 |
-
You can run Devstral using the [Ollama](https://ollama.ai/) CLI.
|
419 |
-
|
420 |
-
```bash
|
421 |
-
ollama run devstral
|
422 |
-
```
|
423 |
-
|
424 |
-
### Example: Understanding Test Coverage of Mistral Common
|
425 |
-
|
426 |
-
We can start the OpenHands scaffold and link it to a repo to analyze test coverage and identify badly covered files.
|
427 |
-
Here we start with our public `mistral-common` repo.
|
428 |
-
|
429 |
-
|
430 |
-
After the repo is mounted in the workspace, we give the following instruction
|
431 |
-
```
|
432 |
-
Check the test coverage of the repo and then create a visualization of test coverage. Try plotting a few different types of graphs and save them to a png.
|
433 |
-
```
|
434 |
-
The agent will first browse the code base to check test configuration and structure.
|
435 |
-
|
436 |
-

|
437 |
-
|
438 |
-
Then it sets up the testing dependencies and launches the coverage test:
|
439 |
-
|
440 |
-

|
441 |
-
|
442 |
-
Finally, the agent writes necessary code to visualize the coverage.
|
443 |
-

|
444 |
-
|
445 |
-
At the end of the run, the following plots are produced:
|
446 |
-

|
447 |
-

|
448 |
-

|
|
|
1 |
---
|
|
|
2 |
language:
|
3 |
- en
|
4 |
- fr
|
|
|
25 |
- hi
|
26 |
- bn
|
27 |
license: apache-2.0
|
28 |
+
library_name: vllm
|
29 |
inference: false
|
30 |
base_model:
|
31 |
+
- mistralai/Devstral-Small-2505
|
32 |
extra_gated_description: >-
|
33 |
If you want to learn more about how we process your personal data, please read
|
34 |
our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
|
35 |
+
pipeline_tag: text2text-generation
|
|
|
36 |
---
|
37 |
|
38 |
+
# Model Card for mistralai/Devstrall-Small-2505
|
39 |
|
40 |
Devstral is an agentic LLM for software engineering tasks built under a collaboration between [Mistral AI](https://mistral.ai/) and [All Hands AI](https://www.all-hands.dev/) 🙌. Devstral excels at using tools to explore codebases, editing multiple files and power software engineering agents. The model achieves remarkable performance on SWE-bench which positionates it as the #1 open source model on this [benchmark](#benchmark-results).
|
41 |
|
|
|
102 |
|
103 |
### Local inference
|
104 |
|
105 |
+
You can also run the model locally. It can be done with LMStudio or other providers listed below.
|
106 |
+
|
107 |
+
Launch Openhands
|
108 |
+
You can now interact with the model served from LM Studio with openhands. Start the openhands server with the docker
|
109 |
+
|
110 |
+
```bash
|
111 |
+
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.38-nikolaik
|
112 |
+
docker run -it --rm --pull=always \
|
113 |
+
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.38-nikolaik \
|
114 |
+
-e LOG_ALL_EVENTS=true \
|
115 |
+
-v /var/run/docker.sock:/var/run/docker.sock \
|
116 |
+
-v ~/.openhands-state:/.openhands-state \
|
117 |
+
-p 3000:3000 \
|
118 |
+
--add-host host.docker.internal:host-gateway \
|
119 |
+
--name openhands-app \
|
120 |
+
docker.all-hands.dev/all-hands-ai/openhands:0.38
|
121 |
+
```
|
122 |
+
|
123 |
+
The server will start at http://0.0.0.0:3000. Open it in your browser and you will see a tab AI Provider Configuration.
|
124 |
+
Now you can start a new conversation with the agent by clicking on the plus sign on the left bar.
|
125 |
+
|
126 |
+
|
127 |
The model can also be deployed with the following libraries:
|
128 |
+
- [`LMStudio (recommended for quantized model)`](https://lmstudio.ai/): See [here](#lmstudio-recommended-for-quantized-model)
|
129 |
- [`vllm (recommended)`](https://github.com/vllm-project/vllm): See [here](#vllm-recommended)
|
130 |
- [`mistral-inference`](https://github.com/mistralai/mistral-inference): See [here](#mistral-inference)
|
131 |
- [`transformers`](https://github.com/huggingface/transformers): See [here](#transformers)
|
|
|
|
|
132 |
- [`ollama`](https://github.com/ollama/ollama): See [here](#ollama)
|
133 |
|
134 |
|
135 |
### OpenHands (recommended)
|
136 |
|
137 |
+
#### Launch a server to deploy Devstral-Small-2505
|
138 |
|
139 |
+
Make sure you launched an OpenAI-compatible server such as vLLM or Ollama as described above. Then, you can use OpenHands to interact with `Devstral-Small-2505`.
|
140 |
|
141 |
In the case of the tutorial we spineed up a vLLM server running the command:
|
142 |
```bash
|
|
|
218 |
</details>
|
219 |
|
220 |
|
221 |
+
### LMStudio (recommended for quantized model)
|
222 |
+
Download the weights from huggingface:
|
223 |
+
|
224 |
+
```
|
225 |
+
pip install -U "huggingface_hub[cli]"
|
226 |
+
huggingface-cli download \
|
227 |
+
"mistralai/Devstral-Small-2505_gguf" \
|
228 |
+
--include "devstralQ4_K_M.gguf" \
|
229 |
+
--local-dir "mistralai/Devstral-Small-2505_gguf/"
|
230 |
+
```
|
231 |
+
|
232 |
+
You can serve the model locally with [LMStudio](https://lmstudio.ai/).
|
233 |
+
* Download [LM Studio](https://lmstudio.ai/) and install it
|
234 |
+
* Install `lms cli ~/.lmstudio/bin/lms bootstrap`
|
235 |
+
* In a bash terminal, run `lms import devstralQ4_K_M.ggu` in the directory where you've downloaded the model checkpoint (e.g. `mistralai/Devstral-Small-2505_gguf`)
|
236 |
+
* Open the LMStudio application, click the terminal icon to get into the developer tab. Click select a model to load and select Devstral Q4 K M. Toggle the status button to start the model, in setting oggle Serve on Local Network to be on.
|
237 |
+
* On the right tab, you will see an API identifier which should be devstralq4_k_m and an api address under API Usage. Keep note of this address, we will use it in the next step.
|
238 |
+
|
239 |
+
Launch Openhands
|
240 |
+
You can now interact with the model served from LM Studio with openhands. Start the openhands server with the docker
|
241 |
+
|
242 |
+
```bash
|
243 |
+
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.38-nikolaik
|
244 |
+
docker run -it --rm --pull=always \
|
245 |
+
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.38-nikolaik \
|
246 |
+
-e LOG_ALL_EVENTS=true \
|
247 |
+
-v /var/run/docker.sock:/var/run/docker.sock \
|
248 |
+
-v ~/.openhands-state:/.openhands-state \
|
249 |
+
-p 3000:3000 \
|
250 |
+
--add-host host.docker.internal:host-gateway \
|
251 |
+
--name openhands-app \
|
252 |
+
docker.all-hands.dev/all-hands-ai/openhands:0.38
|
253 |
+
```
|
254 |
+
|
255 |
+
Click “see advanced setting” on the second line.
|
256 |
+
In the new tab, toggle advanced to on. Set the custom model to be mistral/devstralq4_k_m and Base URL the api address we get from the last step in LM Studio. Set API Key to dummy. Click save changes.
|
257 |
+
|
258 |
### vLLM (recommended)
|
259 |
|
260 |
We recommend using this model with the [vLLM library](https://github.com/vllm-project/vllm)
|
|
|
328 |
print(response.json()["choices"][0]["message"]["content"])
|
329 |
```
|
330 |
|
331 |
+
|
332 |
### Mistral-inference
|
333 |
|
334 |
We recommend using mistral-inference to quickly try out / "vibe-check" Devstral.
|
|
|
363 |
|
364 |
You can then prompt it with anything you'd like.
|
365 |
|
366 |
+
### Ollama
|
367 |
+
|
368 |
+
You can run Devstral using the [Ollama](https://ollama.ai/) CLI.
|
369 |
+
|
370 |
+
```bash
|
371 |
+
ollama run devstral
|
372 |
+
```
|
373 |
+
|
374 |
### Transformers
|
375 |
|
376 |
To make the best use of our model with transformers make sure to have [installed](https://github.com/mistralai/mistral-common) ` mistral-common >= 1.5.5` to use our tokenizer.
|
|
|
389 |
)
|
390 |
from mistral_common.protocol.instruct.request import ChatCompletionRequest
|
391 |
from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
|
392 |
+
from mistral_common.tokens.tokenizers.tekken import SpecialTokenPolicy
|
393 |
from huggingface_hub import hf_hub_download
|
394 |
from transformers import AutoModelForCausalLM
|
395 |
|
|
|
423 |
|
424 |
decoded_output = tokenizer.decode(output[len(tokenized.tokens):])
|
425 |
print(decoded_output)
|
426 |
+
```
|
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|
chat_template.jinja
ADDED
@@ -0,0 +1,48 @@
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|
1 |
+
{{- bos_token }}
|
2 |
+
|
3 |
+
{%- if messages[0]['role'] == 'system' %}
|
4 |
+
{%- if messages[0]['content'] is string %}
|
5 |
+
{%- set system_message = messages[0]['content'] %}
|
6 |
+
{%- else %}
|
7 |
+
{%- set system_message = messages[0]['content'][0]['text'] %}
|
8 |
+
{%- endif %}
|
9 |
+
{%- set loop_messages = messages[1:] %}
|
10 |
+
{%- else %}
|
11 |
+
{%- set system_message = "You are Devstral, a helpful agentic model trained by Mistral AI and using the OpenHands scaffold. You can interact with a computer to solve tasks.\n\n<ROLE>\nYour primary role is to assist users by executing commands, modifying code, and solving technical problems effectively. You should be thorough, methodical, and prioritize quality over speed.\n* If the user asks a question, like \"why is X happening\", don't try to fix the problem. Just give an answer to the question.\n</ROLE>\n\n<EFFICIENCY>\n* Each action you take is somewhat expensive. Wherever possible, combine multiple actions into a single action, e.g. combine multiple bash commands into one, using sed and grep to edit/view multiple files at once.\n* When exploring the codebase, use efficient tools like find, grep, and git commands with appropriate filters to minimize unnecessary operations.\n</EFFICIENCY>\n\n<FILE_SYSTEM_GUIDELINES>\n* When a user provides a file path, do NOT assume it's relative to the current working directory. First explore the file system to locate the file before working on it.\n* If asked to edit a file, edit the file directly, rather than creating a new file with a different filename.\n* For global search-and-replace operations, consider using `sed` instead of opening file editors multiple times.\n</FILE_SYSTEM_GUIDELINES>\n\n<CODE_QUALITY>\n* Write clean, efficient code with minimal comments. Avoid redundancy in comments: Do not repeat information that can be easily inferred from the code itself.\n* When implementing solutions, focus on making the minimal changes needed to solve the problem.\n* Before implementing any changes, first thoroughly understand the codebase through exploration.\n* If you are adding a lot of code to a function or file, consider splitting the function or file into smaller pieces when appropriate.\n</CODE_QUALITY>\n\n<VERSION_CONTROL>\n* When configuring git credentials, use \"openhands\" as the user.name and \"[email protected]\" as the user.email by default, unless explicitly instructed otherwise.\n* Exercise caution with git operations. Do NOT make potentially dangerous changes (e.g., pushing to main, deleting repositories) unless explicitly asked to do so.\n* When committing changes, use `git status` to see all modified files, and stage all files necessary for the commit. Use `git commit -a` whenever possible.\n* Do NOT commit files that typically shouldn't go into version control (e.g., node_modules/, .env files, build directories, cache files, large binaries) unless explicitly instructed by the user.\n* If unsure about committing certain files, check for the presence of .gitignore files or ask the user for clarification.\n</VERSION_CONTROL>\n\n<PULL_REQUESTS>\n* When creating pull requests, create only ONE per session/issue unless explicitly instructed otherwise.\n* When working with an existing PR, update it with new commits rather than creating additional PRs for the same issue.\n* When updating a PR, preserve the original PR title and purpose, updating description only when necessary.\n</PULL_REQUESTS>\n\n<PROBLEM_SOLVING_WORKFLOW>\n1. EXPLORATION: Thoroughly explore relevant files and understand the context before proposing solutions\n2. ANALYSIS: Consider multiple approaches and select the most promising one\n3. TESTING:\n * For bug fixes: Create tests to verify issues before implementing fixes\n * For new features: Consider test-driven development when appropriate\n * If the repository lacks testing infrastructure and implementing tests would require extensive setup, consult with the user before investing time in building testing infrastructure\n * If the environment is not set up to run tests, consult with the user first before investing time to install all dependencies\n4. IMPLEMENTATION: Make focused, minimal changes to address the problem\n5. VERIFICATION: If the environment is set up to run tests, test your implementation thoroughly, including edge cases. If the environment is not set up to run tests, consult with the user first before investing time to run tests.\n</PROBLEM_SOLVING_WORKFLOW>\n\n<SECURITY>\n* Only use GITHUB_TOKEN and other credentials in ways the user has explicitly requested and would expect.\n* Use APIs to work with GitHub or other platforms, unless the user asks otherwise or your task requires browsing.\n</SECURITY>\n\n<ENVIRONMENT_SETUP>\n* When user asks you to run an application, don't stop if the application is not installed. Instead, please install the application and run the command again.\n* If you encounter missing dependencies:\n 1. First, look around in the repository for existing dependency files (requirements.txt, pyproject.toml, package.json, Gemfile, etc.)\n 2. If dependency files exist, use them to install all dependencies at once (e.g., `pip install -r requirements.txt`, `npm install`, etc.)\n 3. Only install individual packages directly if no dependency files are found or if only specific packages are needed\n* Similarly, if you encounter missing dependencies for essential tools requested by the user, install them when possible.\n</ENVIRONMENT_SETUP>\n\n<TROUBLESHOOTING>\n* If you've made repeated attempts to solve a problem but tests still fail or the user reports it's still broken:\n 1. Step back and reflect on 5-7 different possible sources of the problem\n 2. Assess the likelihood of each possible cause\n 3. Methodically address the most likely causes, starting with the highest probability\n 4. Document your reasoning process\n* When you run into any major issue while executing a plan from the user, please don't try to directly work around it. Instead, propose a new plan and confirm with the user before proceeding.\n</TROUBLESHOOTING>" %}
|
12 |
+
{%- set loop_messages = messages %}
|
13 |
+
{%- endif %}
|
14 |
+
{{- '[SYSTEM_PROMPT]' + system_message + '[/SYSTEM_PROMPT]' }}
|
15 |
+
|
16 |
+
{%- for message in loop_messages %}
|
17 |
+
{%- if message['role'] == 'user' %}
|
18 |
+
{%- if message['content'] is string %}
|
19 |
+
{{- '[INST]' + message['content'] + '[/INST]' }}
|
20 |
+
{%- else %}
|
21 |
+
{{- '[INST]' }}
|
22 |
+
{%- for block in message['content'] %}
|
23 |
+
{%- if block['type'] == 'text' %}
|
24 |
+
{{- block['text'] }}
|
25 |
+
{%- elif block['type'] in ['image', 'image_url'] %}
|
26 |
+
{{- '[IMG]' }}
|
27 |
+
{%- else %}
|
28 |
+
{{- raise_exception('Only text and image blocks are supported in message content!') }}
|
29 |
+
{%- endif %}
|
30 |
+
{%- endfor %}
|
31 |
+
{{- '[/INST]' }}
|
32 |
+
{%- endif %}
|
33 |
+
{%- elif message['role'] == 'system' %}
|
34 |
+
{%- if message['content'] is string %}
|
35 |
+
{{- '[SYSTEM_PROMPT]' + message['content'] + '[/SYSTEM_PROMPT]' }}
|
36 |
+
{%- else %}
|
37 |
+
{{- '[SYSTEM_PROMPT]' + message['content'][0]['text'] + '[/SYSTEM_PROMPT]' }}
|
38 |
+
{%- endif %}
|
39 |
+
{%- elif message['role'] == 'assistant' %}
|
40 |
+
{%- if message['content'] is string %}
|
41 |
+
{{- message['content'] + eos_token }}
|
42 |
+
{%- else %}
|
43 |
+
{{- message['content'][0]['text'] + eos_token }}
|
44 |
+
{%- endif %}
|
45 |
+
{%- else %}
|
46 |
+
{{- raise_exception('Only user, system and assistant roles are supported!') }}
|
47 |
+
{%- endif %}
|
48 |
+
{%- endfor %}
|
config.json
CHANGED
@@ -15,12 +15,14 @@
|
|
15 |
"num_attention_heads": 32,
|
16 |
"num_hidden_layers": 40,
|
17 |
"num_key_value_heads": 8,
|
|
|
18 |
"rms_norm_eps": 1e-05,
|
19 |
"rope_theta": 1000000000.0,
|
20 |
"sliding_window": null,
|
21 |
"tie_word_embeddings": false,
|
22 |
"torch_dtype": "bfloat16",
|
23 |
-
"transformers_version": "4.
|
|
|
24 |
"use_cache": true,
|
25 |
"vocab_size": 131072
|
26 |
}
|
|
|
15 |
"num_attention_heads": 32,
|
16 |
"num_hidden_layers": 40,
|
17 |
"num_key_value_heads": 8,
|
18 |
+
"pad_token_id": 11,
|
19 |
"rms_norm_eps": 1e-05,
|
20 |
"rope_theta": 1000000000.0,
|
21 |
"sliding_window": null,
|
22 |
"tie_word_embeddings": false,
|
23 |
"torch_dtype": "bfloat16",
|
24 |
+
"transformers_version": "4.52.2",
|
25 |
+
"unsloth_fixed": true,
|
26 |
"use_cache": true,
|
27 |
"vocab_size": 131072
|
28 |
}
|
generation_config.json
CHANGED
@@ -2,5 +2,10 @@
|
|
2 |
"_from_model_config": true,
|
3 |
"bos_token_id": 1,
|
4 |
"eos_token_id": 2,
|
5 |
-
"
|
|
|
|
|
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|
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|
6 |
}
|
|
|
2 |
"_from_model_config": true,
|
3 |
"bos_token_id": 1,
|
4 |
"eos_token_id": 2,
|
5 |
+
"max_length": 131072,
|
6 |
+
"pad_token_id": 11,
|
7 |
+
"transformers_version": "4.52.2",
|
8 |
+
"temperature": 0.15,
|
9 |
+
"top_k": 40,
|
10 |
+
"top_p": 0.95
|
11 |
}
|
params.json
CHANGED
@@ -7,7 +7,6 @@
|
|
7 |
"n_kv_heads": 8,
|
8 |
"rope_theta": 1000000000.0,
|
9 |
"norm_eps": 1e-05,
|
10 |
-
"vocab_size": 131072
|
11 |
-
"max_position_embeddings": 131072
|
12 |
}
|
13 |
|
|
|
7 |
"n_kv_heads": 8,
|
8 |
"rope_theta": 1000000000.0,
|
9 |
"norm_eps": 1e-05,
|
10 |
+
"vocab_size": 131072
|
|
|
11 |
}
|
12 |
|
special_tokens_map.json
ADDED
@@ -0,0 +1,1032 @@
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|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<unk>",
|
4 |
+
"<s>",
|
5 |
+
"</s>",
|
6 |
+
"[INST]",
|
7 |
+
"[/INST]",
|
8 |
+
"[AVAILABLE_TOOLS]",
|
9 |
+
"[/AVAILABLE_TOOLS]",
|
10 |
+
"[TOOL_RESULTS]",
|
11 |
+
"[/TOOL_RESULTS]",
|
12 |
+
"[TOOL_CALLS]",
|
13 |
+
"[IMG]",
|
14 |
+
"<pad>",
|
15 |
+
"[IMG_BREAK]",
|
16 |
+
"[IMG_END]",
|
17 |
+
"[PREFIX]",
|
18 |
+
"[MIDDLE]",
|
19 |
+
"[SUFFIX]",
|
20 |
+
"[SYSTEM_PROMPT]",
|
21 |
+
"[/SYSTEM_PROMPT]",
|
22 |
+
"[TOOL_CONTENT]",
|
23 |
+
"<SPECIAL_20>",
|
24 |
+
"<SPECIAL_21>",
|
25 |
+
"<SPECIAL_22>",
|
26 |
+
"<SPECIAL_23>",
|
27 |
+
"<SPECIAL_24>",
|
28 |
+
"<SPECIAL_25>",
|
29 |
+
"<SPECIAL_26>",
|
30 |
+
"<SPECIAL_27>",
|
31 |
+
"<SPECIAL_28>",
|
32 |
+
"<SPECIAL_29>",
|
33 |
+
"<SPECIAL_30>",
|
34 |
+
"<SPECIAL_31>",
|
35 |
+
"<SPECIAL_32>",
|
36 |
+
"<SPECIAL_33>",
|
37 |
+
"<SPECIAL_34>",
|
38 |
+
"<SPECIAL_35>",
|
39 |
+
"<SPECIAL_36>",
|
40 |
+
"<SPECIAL_37>",
|
41 |
+
"<SPECIAL_38>",
|
42 |
+
"<SPECIAL_39>",
|
43 |
+
"<SPECIAL_40>",
|
44 |
+
"<SPECIAL_41>",
|
45 |
+
"<SPECIAL_42>",
|
46 |
+
"<SPECIAL_43>",
|
47 |
+
"<SPECIAL_44>",
|
48 |
+
"<SPECIAL_45>",
|
49 |
+
"<SPECIAL_46>",
|
50 |
+
"<SPECIAL_47>",
|
51 |
+
"<SPECIAL_48>",
|
52 |
+
"<SPECIAL_49>",
|
53 |
+
"<SPECIAL_50>",
|
54 |
+
"<SPECIAL_51>",
|
55 |
+
"<SPECIAL_52>",
|
56 |
+
"<SPECIAL_53>",
|
57 |
+
"<SPECIAL_54>",
|
58 |
+
"<SPECIAL_55>",
|
59 |
+
"<SPECIAL_56>",
|
60 |
+
"<SPECIAL_57>",
|
61 |
+
"<SPECIAL_58>",
|
62 |
+
"<SPECIAL_59>",
|
63 |
+
"<SPECIAL_60>",
|
64 |
+
"<SPECIAL_61>",
|
65 |
+
"<SPECIAL_62>",
|
66 |
+
"<SPECIAL_63>",
|
67 |
+
"<SPECIAL_64>",
|
68 |
+
"<SPECIAL_65>",
|
69 |
+
"<SPECIAL_66>",
|
70 |
+
"<SPECIAL_67>",
|
71 |
+
"<SPECIAL_68>",
|
72 |
+
"<SPECIAL_69>",
|
73 |
+
"<SPECIAL_70>",
|
74 |
+
"<SPECIAL_71>",
|
75 |
+
"<SPECIAL_72>",
|
76 |
+
"<SPECIAL_73>",
|
77 |
+
"<SPECIAL_74>",
|
78 |
+
"<SPECIAL_75>",
|
79 |
+
"<SPECIAL_76>",
|
80 |
+
"<SPECIAL_77>",
|
81 |
+
"<SPECIAL_78>",
|
82 |
+
"<SPECIAL_79>",
|
83 |
+
"<SPECIAL_80>",
|
84 |
+
"<SPECIAL_81>",
|
85 |
+
"<SPECIAL_82>",
|
86 |
+
"<SPECIAL_83>",
|
87 |
+
"<SPECIAL_84>",
|
88 |
+
"<SPECIAL_85>",
|
89 |
+
"<SPECIAL_86>",
|
90 |
+
"<SPECIAL_87>",
|
91 |
+
"<SPECIAL_88>",
|
92 |
+
"<SPECIAL_89>",
|
93 |
+
"<SPECIAL_90>",
|
94 |
+
"<SPECIAL_91>",
|
95 |
+
"<SPECIAL_92>",
|
96 |
+
"<SPECIAL_93>",
|
97 |
+
"<SPECIAL_94>",
|
98 |
+
"<SPECIAL_95>",
|
99 |
+
"<SPECIAL_96>",
|
100 |
+
"<SPECIAL_97>",
|
101 |
+
"<SPECIAL_98>",
|
102 |
+
"<SPECIAL_99>",
|
103 |
+
"<SPECIAL_100>",
|
104 |
+
"<SPECIAL_101>",
|
105 |
+
"<SPECIAL_102>",
|
106 |
+
"<SPECIAL_103>",
|
107 |
+
"<SPECIAL_104>",
|
108 |
+
"<SPECIAL_105>",
|
109 |
+
"<SPECIAL_106>",
|
110 |
+
"<SPECIAL_107>",
|
111 |
+
"<SPECIAL_108>",
|
112 |
+
"<SPECIAL_109>",
|
113 |
+
"<SPECIAL_110>",
|
114 |
+
"<SPECIAL_111>",
|
115 |
+
"<SPECIAL_112>",
|
116 |
+
"<SPECIAL_113>",
|
117 |
+
"<SPECIAL_114>",
|
118 |
+
"<SPECIAL_115>",
|
119 |
+
"<SPECIAL_116>",
|
120 |
+
"<SPECIAL_117>",
|
121 |
+
"<SPECIAL_118>",
|
122 |
+
"<SPECIAL_119>",
|
123 |
+
"<SPECIAL_120>",
|
124 |
+
"<SPECIAL_121>",
|
125 |
+
"<SPECIAL_122>",
|
126 |
+
"<SPECIAL_123>",
|
127 |
+
"<SPECIAL_124>",
|
128 |
+
"<SPECIAL_125>",
|
129 |
+
"<SPECIAL_126>",
|
130 |
+
"<SPECIAL_127>",
|
131 |
+
"<SPECIAL_128>",
|
132 |
+
"<SPECIAL_129>",
|
133 |
+
"<SPECIAL_130>",
|
134 |
+
"<SPECIAL_131>",
|
135 |
+
"<SPECIAL_132>",
|
136 |
+
"<SPECIAL_133>",
|
137 |
+
"<SPECIAL_134>",
|
138 |
+
"<SPECIAL_135>",
|
139 |
+
"<SPECIAL_136>",
|
140 |
+
"<SPECIAL_137>",
|
141 |
+
"<SPECIAL_138>",
|
142 |
+
"<SPECIAL_139>",
|
143 |
+
"<SPECIAL_140>",
|
144 |
+
"<SPECIAL_141>",
|
145 |
+
"<SPECIAL_142>",
|
146 |
+
"<SPECIAL_143>",
|
147 |
+
"<SPECIAL_144>",
|
148 |
+
"<SPECIAL_145>",
|
149 |
+
"<SPECIAL_146>",
|
150 |
+
"<SPECIAL_147>",
|
151 |
+
"<SPECIAL_148>",
|
152 |
+
"<SPECIAL_149>",
|
153 |
+
"<SPECIAL_150>",
|
154 |
+
"<SPECIAL_151>",
|
155 |
+
"<SPECIAL_152>",
|
156 |
+
"<SPECIAL_153>",
|
157 |
+
"<SPECIAL_154>",
|
158 |
+
"<SPECIAL_155>",
|
159 |
+
"<SPECIAL_156>",
|
160 |
+
"<SPECIAL_157>",
|
161 |
+
"<SPECIAL_158>",
|
162 |
+
"<SPECIAL_159>",
|
163 |
+
"<SPECIAL_160>",
|
164 |
+
"<SPECIAL_161>",
|
165 |
+
"<SPECIAL_162>",
|
166 |
+
"<SPECIAL_163>",
|
167 |
+
"<SPECIAL_164>",
|
168 |
+
"<SPECIAL_165>",
|
169 |
+
"<SPECIAL_166>",
|
170 |
+
"<SPECIAL_167>",
|
171 |
+
"<SPECIAL_168>",
|
172 |
+
"<SPECIAL_169>",
|
173 |
+
"<SPECIAL_170>",
|
174 |
+
"<SPECIAL_171>",
|
175 |
+
"<SPECIAL_172>",
|
176 |
+
"<SPECIAL_173>",
|
177 |
+
"<SPECIAL_174>",
|
178 |
+
"<SPECIAL_175>",
|
179 |
+
"<SPECIAL_176>",
|
180 |
+
"<SPECIAL_177>",
|
181 |
+
"<SPECIAL_178>",
|
182 |
+
"<SPECIAL_179>",
|
183 |
+
"<SPECIAL_180>",
|
184 |
+
"<SPECIAL_181>",
|
185 |
+
"<SPECIAL_182>",
|
186 |
+
"<SPECIAL_183>",
|
187 |
+
"<SPECIAL_184>",
|
188 |
+
"<SPECIAL_185>",
|
189 |
+
"<SPECIAL_186>",
|
190 |
+
"<SPECIAL_187>",
|
191 |
+
"<SPECIAL_188>",
|
192 |
+
"<SPECIAL_189>",
|
193 |
+
"<SPECIAL_190>",
|
194 |
+
"<SPECIAL_191>",
|
195 |
+
"<SPECIAL_192>",
|
196 |
+
"<SPECIAL_193>",
|
197 |
+
"<SPECIAL_194>",
|
198 |
+
"<SPECIAL_195>",
|
199 |
+
"<SPECIAL_196>",
|
200 |
+
"<SPECIAL_197>",
|
201 |
+
"<SPECIAL_198>",
|
202 |
+
"<SPECIAL_199>",
|
203 |
+
"<SPECIAL_200>",
|
204 |
+
"<SPECIAL_201>",
|
205 |
+
"<SPECIAL_202>",
|
206 |
+
"<SPECIAL_203>",
|
207 |
+
"<SPECIAL_204>",
|
208 |
+
"<SPECIAL_205>",
|
209 |
+
"<SPECIAL_206>",
|
210 |
+
"<SPECIAL_207>",
|
211 |
+
"<SPECIAL_208>",
|
212 |
+
"<SPECIAL_209>",
|
213 |
+
"<SPECIAL_210>",
|
214 |
+
"<SPECIAL_211>",
|
215 |
+
"<SPECIAL_212>",
|
216 |
+
"<SPECIAL_213>",
|
217 |
+
"<SPECIAL_214>",
|
218 |
+
"<SPECIAL_215>",
|
219 |
+
"<SPECIAL_216>",
|
220 |
+
"<SPECIAL_217>",
|
221 |
+
"<SPECIAL_218>",
|
222 |
+
"<SPECIAL_219>",
|
223 |
+
"<SPECIAL_220>",
|
224 |
+
"<SPECIAL_221>",
|
225 |
+
"<SPECIAL_222>",
|
226 |
+
"<SPECIAL_223>",
|
227 |
+
"<SPECIAL_224>",
|
228 |
+
"<SPECIAL_225>",
|
229 |
+
"<SPECIAL_226>",
|
230 |
+
"<SPECIAL_227>",
|
231 |
+
"<SPECIAL_228>",
|
232 |
+
"<SPECIAL_229>",
|
233 |
+
"<SPECIAL_230>",
|
234 |
+
"<SPECIAL_231>",
|
235 |
+
"<SPECIAL_232>",
|
236 |
+
"<SPECIAL_233>",
|
237 |
+
"<SPECIAL_234>",
|
238 |
+
"<SPECIAL_235>",
|
239 |
+
"<SPECIAL_236>",
|
240 |
+
"<SPECIAL_237>",
|
241 |
+
"<SPECIAL_238>",
|
242 |
+
"<SPECIAL_239>",
|
243 |
+
"<SPECIAL_240>",
|
244 |
+
"<SPECIAL_241>",
|
245 |
+
"<SPECIAL_242>",
|
246 |
+
"<SPECIAL_243>",
|
247 |
+
"<SPECIAL_244>",
|
248 |
+
"<SPECIAL_245>",
|
249 |
+
"<SPECIAL_246>",
|
250 |
+
"<SPECIAL_247>",
|
251 |
+
"<SPECIAL_248>",
|
252 |
+
"<SPECIAL_249>",
|
253 |
+
"<SPECIAL_250>",
|
254 |
+
"<SPECIAL_251>",
|
255 |
+
"<SPECIAL_252>",
|
256 |
+
"<SPECIAL_253>",
|
257 |
+
"<SPECIAL_254>",
|
258 |
+
"<SPECIAL_255>",
|
259 |
+
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|
260 |
+
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|
261 |
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|
262 |
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|
263 |
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|
264 |
+
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|
265 |
+
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|
266 |
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|
267 |
+
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|
268 |
+
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|
269 |
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|
270 |
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|
271 |
+
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|
272 |
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|
273 |
+
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|
274 |
+
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|
275 |
+
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|
276 |
+
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|
277 |
+
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|
278 |
+
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|
279 |
+
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|
280 |
+
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|
281 |
+
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|
282 |
+
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|
283 |
+
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|
284 |
+
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|
285 |
+
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|
286 |
+
"<SPECIAL_283>",
|
287 |
+
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|
288 |
+
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|
289 |
+
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|
290 |
+
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|
291 |
+
"<SPECIAL_288>",
|
292 |
+
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|
293 |
+
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|
294 |
+
"<SPECIAL_291>",
|
295 |
+
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|
296 |
+
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|
297 |
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"<SPECIAL_294>",
|
298 |
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|
299 |
+
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|
300 |
+
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|
301 |
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|
302 |
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|
303 |
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"<SPECIAL_300>",
|
304 |
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"<SPECIAL_301>",
|
305 |
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"<SPECIAL_302>",
|
306 |
+
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|
307 |
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|
308 |
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|
309 |
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|
310 |
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|
311 |
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|
312 |
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|
313 |
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|
314 |
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|
315 |
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|
316 |
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|
317 |
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|
318 |
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|
319 |
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|
320 |
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|
321 |
+
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|
322 |
+
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|
323 |
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|
324 |
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|
325 |
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|
326 |
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|
327 |
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|
328 |
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|
329 |
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|
330 |
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|
331 |
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|
332 |
+
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|
333 |
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|
334 |
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|
335 |
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|
336 |
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|
337 |
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|
338 |
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|
339 |
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|
340 |
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|
341 |
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|
342 |
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|
343 |
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|
344 |
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|
345 |
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|
346 |
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|
347 |
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|
348 |
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|
349 |
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|
350 |
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|
351 |
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|
352 |
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|
353 |
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|
354 |
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|
355 |
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|
356 |
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|
357 |
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|
358 |
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|
359 |
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|
360 |
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361 |
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362 |
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363 |
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364 |
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365 |
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366 |
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367 |
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368 |
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369 |
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370 |
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371 |
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372 |
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373 |
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374 |
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375 |
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376 |
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377 |
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378 |
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379 |
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380 |
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381 |
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382 |
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383 |
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384 |
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385 |
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386 |
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387 |
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388 |
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389 |
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390 |
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391 |
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392 |
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393 |
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394 |
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395 |
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396 |
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397 |
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398 |
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399 |
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400 |
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401 |
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402 |
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403 |
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404 |
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405 |
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406 |
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407 |
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408 |
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409 |
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410 |
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411 |
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412 |
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413 |
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414 |
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415 |
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416 |
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417 |
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418 |
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419 |
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420 |
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421 |
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422 |
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423 |
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424 |
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425 |
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426 |
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427 |
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428 |
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429 |
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430 |
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431 |
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432 |
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433 |
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434 |
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435 |
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436 |
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437 |
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438 |
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439 |
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440 |
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441 |
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442 |
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443 |
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444 |
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445 |
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446 |
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447 |
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448 |
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449 |
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450 |
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451 |
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452 |
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453 |
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454 |
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455 |
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456 |
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457 |
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458 |
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459 |
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460 |
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461 |
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462 |
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463 |
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464 |
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465 |
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466 |
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467 |
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468 |
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469 |
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470 |
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471 |
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472 |
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473 |
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474 |
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475 |
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476 |
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477 |
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478 |
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479 |
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480 |
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481 |
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482 |
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483 |
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484 |
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485 |
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486 |
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487 |
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488 |
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489 |
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490 |
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491 |
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492 |
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493 |
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494 |
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495 |
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496 |
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497 |
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498 |
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499 |
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500 |
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501 |
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502 |
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503 |
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504 |
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505 |
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506 |
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507 |
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508 |
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509 |
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510 |
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511 |
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512 |
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513 |
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514 |
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515 |
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516 |
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517 |
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518 |
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519 |
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520 |
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521 |
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522 |
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523 |
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524 |
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525 |
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526 |
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527 |
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528 |
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529 |
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530 |
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531 |
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532 |
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533 |
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534 |
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535 |
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536 |
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537 |
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538 |
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539 |
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540 |
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541 |
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542 |
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543 |
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544 |
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545 |
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546 |
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547 |
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548 |
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549 |
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550 |
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551 |
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552 |
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553 |
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554 |
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555 |
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556 |
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557 |
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558 |
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559 |
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560 |
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561 |
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562 |
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563 |
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564 |
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565 |
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566 |
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567 |
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568 |
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569 |
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570 |
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571 |
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572 |
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573 |
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574 |
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575 |
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576 |
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577 |
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578 |
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579 |
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580 |
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581 |
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582 |
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583 |
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584 |
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585 |
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586 |
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587 |
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588 |
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589 |
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590 |
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591 |
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592 |
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593 |
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594 |
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595 |
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596 |
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597 |
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598 |
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599 |
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600 |
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601 |
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602 |
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603 |
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604 |
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605 |
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606 |
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607 |
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608 |
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609 |
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610 |
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611 |
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612 |
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613 |
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614 |
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615 |
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616 |
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617 |
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618 |
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619 |
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620 |
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621 |
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622 |
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623 |
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624 |
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625 |
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626 |
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627 |
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628 |
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629 |
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630 |
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631 |
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632 |
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633 |
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634 |
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635 |
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636 |
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637 |
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638 |
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639 |
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640 |
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641 |
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642 |
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643 |
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644 |
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645 |
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646 |
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647 |
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648 |
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649 |
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650 |
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651 |
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652 |
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653 |
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654 |
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655 |
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656 |
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657 |
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658 |
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659 |
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660 |
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661 |
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662 |
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663 |
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664 |
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665 |
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666 |
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667 |
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668 |
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669 |
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670 |
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671 |
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672 |
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673 |
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674 |
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675 |
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676 |
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677 |
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678 |
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679 |
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680 |
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681 |
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682 |
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683 |
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684 |
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685 |
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686 |
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687 |
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688 |
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689 |
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690 |
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691 |
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692 |
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693 |
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694 |
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695 |
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696 |
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697 |
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698 |
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699 |
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700 |
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701 |
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702 |
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703 |
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704 |
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705 |
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706 |
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707 |
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708 |
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709 |
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710 |
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711 |
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712 |
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713 |
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714 |
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715 |
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716 |
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717 |
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718 |
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719 |
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720 |
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721 |
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722 |
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723 |
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724 |
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725 |
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726 |
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727 |
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728 |
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729 |
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730 |
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731 |
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732 |
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733 |
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734 |
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735 |
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736 |
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737 |
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738 |
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739 |
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740 |
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741 |
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742 |
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743 |
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744 |
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745 |
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746 |
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747 |
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748 |
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749 |
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950 |
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961 |
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963 |
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|
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|
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|
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|
1000 |
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|
1001 |
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|
1002 |
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|
1003 |
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],
|
1004 |
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"bos_token": {
|
1005 |
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"content": "<s>",
|
1006 |
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"lstrip": false,
|
1007 |
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"normalized": false,
|
1008 |
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"rstrip": false,
|
1009 |
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"single_word": false
|
1010 |
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},
|
1011 |
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"eos_token": {
|
1012 |
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"content": "</s>",
|
1013 |
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|
1014 |
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|
1015 |
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|
1016 |
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"single_word": false
|
1017 |
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},
|
1018 |
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"pad_token": {
|
1019 |
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"content": "<pad>",
|
1020 |
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"lstrip": false,
|
1021 |
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"normalized": false,
|
1022 |
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"rstrip": false,
|
1023 |
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"single_word": false
|
1024 |
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},
|
1025 |
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"unk_token": {
|
1026 |
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"content": "<unk>",
|
1027 |
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"lstrip": false,
|
1028 |
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"normalized": false,
|
1029 |
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"rstrip": false,
|
1030 |
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"single_word": false
|
1031 |
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}
|
1032 |
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}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b76085f9923309d873994d444989f7eb6ec074b06f25b58f1e8d7b7741070949
|
3 |
+
size 17078037
|
tokenizer_config.json
ADDED
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|
|