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--- |
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|
datasets: |
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|
- Delta-Vector/Hydrus-Instruct-SmolTalk-V2 |
|
|
- Delta-Vector/Hydrus-SonnetOrca-V2 |
|
|
- Delta-Vector/Hydrus-FeedSum-ShareGPT |
|
|
- Delta-Vector/Hydrus-Tulu-Personas-Filtered-Sharegpt |
|
|
- Delta-Vector/Hydrus-No_Robots-R1-Filtered |
|
|
- Delta-Vector/Hydrus-Chat_error-Pure-Dove-sharegpt |
|
|
- Delta-Vector/Hydrus-HelpSteer2 |
|
|
- Delta-Vector/Hydrus-R1-Thinking-Sharegpt |
|
|
- Delta-Vector/Hydrus-Science-QA-sharegpt |
|
|
- Delta-Vector/Hydrus-Claude-Instruct-2.7K |
|
|
- Delta-Vector/Hydrus-Claude-Instruct-5K |
|
|
- PocketDoc/Dans-Assistantmaxx-UnnaturalInstructions-GPT4 |
|
|
- PocketDoc/Dans-Toolmaxx-ShellCommands |
|
|
- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small |
|
|
- PocketDoc/Dans-Logicmaxx-SAT-AP |
|
|
- PocketDoc/Dans-Benchmaxx |
|
|
- Nitral-AI/ARES-ShareGPT |
|
|
- PocketDoc/Dans-Taskmaxx-TableGPT |
|
|
- Delta-Vector/Ursa-Erebus-16K |
|
|
- Delta-Vector/Ursa-Books-Light-Novels-V1 |
|
|
- NewEden/Orion-LIT |
|
|
- Delta-Vector/Ursa-Asstr-V2-18k |
|
|
- Delta-Vector/Ursa-Books-V2 |
|
|
- Delta-Vector/Ursa-Scribblehub-7k |
|
|
- Delta-Vector/Ursa-Orion-EA-Comp-Filtered |
|
|
- Delta-Vector/Ursa-HoneyFeed |
|
|
- Delta-Vector/Ursa-Falling-through-the-world |
|
|
base_model: Delta-Vector/Sol-Reaver-15B-Instruct |
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tags: |
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- roleplay |
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- instruct |
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- creative_writing |
|
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- story-writing |
|
|
- mistral |
|
|
- llama-cpp |
|
|
- gguf-my-repo |
|
|
--- |
|
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|
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|
# Carnyzzle/Sol-Reaver-15B-Instruct-Q6_K-GGUF |
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This model was converted to GGUF format from [`Delta-Vector/Sol-Reaver-15B-Instruct`](https://huggingface.co/Delta-Vector/Sol-Reaver-15B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/Delta-Vector/Sol-Reaver-15B-Instruct) for more details on the model. |
|
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|
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
|
|
|
|
|
```bash |
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brew install llama.cpp |
|
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|
|
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``` |
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Invoke the llama.cpp server or the CLI. |
|
|
|
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### CLI: |
|
|
```bash |
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|
llama-cli --hf-repo Carnyzzle/Sol-Reaver-15B-Instruct-Q6_K-GGUF --hf-file sol-reaver-15b-instruct-q6_k.gguf -p "The meaning to life and the universe is" |
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``` |
|
|
|
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### Server: |
|
|
```bash |
|
|
llama-server --hf-repo Carnyzzle/Sol-Reaver-15B-Instruct-Q6_K-GGUF --hf-file sol-reaver-15b-instruct-q6_k.gguf -c 2048 |
|
|
``` |
|
|
|
|
|
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
|
|
|
|
|
Step 1: Clone llama.cpp from GitHub. |
|
|
``` |
|
|
git clone https://github.com/ggerganov/llama.cpp |
|
|
``` |
|
|
|
|
|
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). |
|
|
``` |
|
|
cd llama.cpp && LLAMA_CURL=1 make |
|
|
``` |
|
|
|
|
|
Step 3: Run inference through the main binary. |
|
|
``` |
|
|
./llama-cli --hf-repo Carnyzzle/Sol-Reaver-15B-Instruct-Q6_K-GGUF --hf-file sol-reaver-15b-instruct-q6_k.gguf -p "The meaning to life and the universe is" |
|
|
``` |
|
|
or |
|
|
``` |
|
|
./llama-server --hf-repo Carnyzzle/Sol-Reaver-15B-Instruct-Q6_K-GGUF --hf-file sol-reaver-15b-instruct-q6_k.gguf -c 2048 |
|
|
``` |
|
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|
