J.A.R.V.I.S.: Release 2.1.3-0625 version!
Browse files* Upgrade model to 14 billion parameters.
* Public version (base).
- LICENSE +2 -1
- README.md +37 -24
- config.json +6 -6
- model-00001-of-00002.safetensors → model-00001-of-00006.safetensors +2 -2
- model-00002-of-00002.safetensors → model-00002-of-00006.safetensors +2 -2
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +444 -399
- tokenizer_config.json +1 -2
LICENSE
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same "printed page" as the copyright notice for easier
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Copyright 2025 Hadad <[email protected]>
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Licensed under the Apache License, Version 2.0 (the "License");
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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same "printed page" as the copyright notice for easier
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Copyright 2024 Alibaba Cloud
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Copyright 2025 Hadad <[email protected]>
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Licensed under the Apache License, Version 2.0 (the "License");
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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README.md
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license: apache-2.0
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license_link: https://huggingface.co/hadadrjt/JARVIS/blob/main/LICENSE
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base_model:
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- Qwen/Qwen3-
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tags:
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- jarvis
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language:
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- en
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---
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**J.A.R.V.I.S.**, which stands for "**Just a Rather Very Intelligent System**", is an advanced AI language model inspired by [Iron Man](https://wikipedia.org/wiki/J.A.R.V.I.S.) iconic assistant. This model delivers context-aware, high-fidelity natural language processing capabilities for a wide range of applications.
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## Model Highlights
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**J.A.R.V.I.S.** serves as the core of an AI solution capable of producing natural and creative text with high quality, ready to help you create inspiring and engaging content.
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Designed with high flexibility, **J.A.R.V.I.S.** can be
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Regardless of your computing environment, **J.A.R.V.I.S.** can be optimized for optimal performance, from lightweight devices to enterprise-class infrastructure, ensuring efficiency and responsiveness without compromise.
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Ideal for a wide range of needs, from creative content creation, writing assistance, to developing interactive text-based applications, giving you unlimited freedom to innovate.
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**J.A.R.V.I.S.** is not just an AI model, it is an intelligent partner ready to transform your ideas into words with a touch of intelligence and high flexibility.
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For more detailed information about this model, you can explore all its advantages by referring to the explanation of the underlying base model. [Here](https://huggingface.co/Qwen/Qwen3-
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## Core Capabilities
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Discover the amazing power of **J.A.R.V.I.S.**, as your smart and reliable AI companion. It answers your toughest questions with confidence, explains complex ideas in simple terms, translates languages smoothly, writes clean and efficient code, summarizes lengthy information into easy-to-understand points, sparks your creativity with fresh and original content, and guides you through study or research with expert advice. This is only the beginning of what **J.A.R.V.I.S.** can do for you.
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## Quick Start
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# Setup, select one!
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pip install torch transformers accelerate safetensors --upgrade
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pip install transformers accelerate safetensors --upgrade
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```
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```
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#
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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## Acknowledgments and Contact
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This work builds upon the [Qwen3-
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Thank you for choosing **J.A.R.V.I.S.** to power your intelligent language applications.
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license: apache-2.0
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license_link: https://huggingface.co/hadadrjt/JARVIS/blob/main/LICENSE
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base_model:
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- Qwen/Qwen3-14B
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tags:
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- jarvis
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- ollama
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---
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**J.A.R.V.I.S.**, which stands for "**Just a Rather Very Intelligent System**", is an advanced AI language model inspired by [Iron Man](https://wikipedia.org/wiki/J.A.R.V.I.S.) iconic assistant. This model delivers context-aware, high-fidelity natural language processing capabilities for a wide range of applications.
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## Model Highlights
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- **Powerful Text Generation Engine**
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**J.A.R.V.I.S.** serves as the core of an AI solution capable of producing natural and creative text with high quality, ready to help you create inspiring and engaging content.
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- **Seamless Integration, Limitless Possibilities**
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Designed with high flexibility, **J.A.R.V.I.S.** can be seamlessly integrated into a wide range of platforms and systems you use, including web applications, chatbots, agent modes, tools, system integrations, and automated workflows, adapting effortlessly to available resource capacities.
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- **Scalable & Resource-Aware**
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Regardless of your computing environment, **J.A.R.V.I.S.** can be optimized for optimal performance, from lightweight devices to enterprise-class infrastructure, ensuring efficiency and responsiveness without compromise.
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- **Versatile Use Cases**
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Ideal for a wide range of needs, from creative content creation, writing assistance, to developing interactive text-based applications, giving you unlimited freedom to innovate.
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- **Agentic Use**
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Example usage, please refer to the [Qwen3 Documentation](https://huggingface.co/dulimov/Qwen3-0.6B-rk3588-1.2.1-unsloth-16k#agentic-use), and the [Qwen-Agent GitHub repository](https://github.com/QwenLM/Qwen-Agent).
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**J.A.R.V.I.S.** is not just an AI model, it is an intelligent partner ready to transform your ideas into words with a touch of intelligence and high flexibility.
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For more detailed information about this model, you can explore all its advantages by referring to the explanation of the underlying base model. [Here](https://huggingface.co/Qwen/Qwen3-14B#qwen3-highlights)!
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## Core Capabilities
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Discover the amazing power of **J.A.R.V.I.S.**, as your smart and reliable AI companion. It answers your toughest questions with confidence, explains complex ideas in simple terms, translates languages smoothly, writes clean and efficient code, summarizes lengthy information into easy-to-understand points, sparks your creativity with fresh and original content, and guides you through study or research with expert advice. This is only the beginning of what **J.A.R.V.I.S.** can do for you.
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## Notebook
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Although this model has a large size and many parameters, you can run it on Google Colab for free! Using the script I have optimized. [Click here](https://colab.research.google.com/drive/1FvP9d82cvzu_OrT8HmEGJntU-WDq-63M) to access it.
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## Ollama
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The source of the **J.A.R.V.I.S.** model on Ollama can be found [here](https://ollama.com/hadad/JARVIS).
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```
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ollama run hadad/JARVIS
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```
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```
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# 4-bit (Q4_K_M)
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ollama run hadad/JARVIS:4bit
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```
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## Quick Start
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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## Acknowledgments and Contact
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This work builds upon the [Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) open-source foundation. For feedback, collaboration or support, please reach out to [Hadad Darajat](https://linkedin.com/in/hadadrjt) at [[email protected]](mailto:[email protected]). I welcome contributions that help **J.A.R.V.I.S.** continue to evolve.
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Thank you for choosing **J.A.R.V.I.S.** to power your intelligent language applications.
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## Citation
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```
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@misc{jarvis,
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title = {J.A.R.V.I.S.},
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author = {Hadad Darajat},
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year = {2025},
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license = {Apache-2.0},
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base = {Qwen/Qwen3-14B}
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}
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```
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config.json
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size":
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"initializer_range": 0.02,
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"intermediate_size":
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"max_position_embeddings": 40960,
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"max_window_layers":
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"model_type": "qwen3",
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"num_attention_heads":
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"num_hidden_layers":
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"sliding_window": null,
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"tie_word_embeddings":
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"torch_dtype": "float16",
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"transformers_version": "4.51.3",
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"use_cache": true,
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 17408,
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"max_position_embeddings": 40960,
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"max_window_layers": 40,
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"model_type": "qwen3",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.51.3",
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"use_cache": true,
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model-00001-of-00002.safetensors → model-00001-of-00006.safetensors
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|
| 449 |
}
|
| 450 |
}
|
tokenizer_config.json
CHANGED
|
@@ -232,9 +232,8 @@
|
|
| 232 |
"eos_token": "<|im_end|>",
|
| 233 |
"errors": "replace",
|
| 234 |
"extra_special_tokens": {},
|
| 235 |
-
"model_max_length":
|
| 236 |
"pad_token": "<|endoftext|>",
|
| 237 |
-
"padding_side": "right",
|
| 238 |
"split_special_tokens": false,
|
| 239 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 240 |
"unk_token": null
|
|
|
|
| 232 |
"eos_token": "<|im_end|>",
|
| 233 |
"errors": "replace",
|
| 234 |
"extra_special_tokens": {},
|
| 235 |
+
"model_max_length": 131072,
|
| 236 |
"pad_token": "<|endoftext|>",
|
|
|
|
| 237 |
"split_special_tokens": false,
|
| 238 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 239 |
"unk_token": null
|