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--- |
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language: |
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- en |
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- fr |
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- ru |
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- de |
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- ja |
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- ko |
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- zh |
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- it |
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- uk |
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- multilingual |
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- code |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- mistral |
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- gistral |
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- gistral-16b |
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- multilingual |
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- code |
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- 128k |
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- metamath |
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- grok-1 |
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- anthropic |
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- openhermes |
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- instruct |
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- merge |
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- llama-cpp |
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- gguf-my-repo |
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base_model: ehristoforu/Gistral-16B |
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datasets: |
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- HuggingFaceH4/grok-conversation-harmless |
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- HuggingFaceH4/ultrachat_200k |
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- HuggingFaceH4/ultrafeedback_binarized_fixed |
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- HuggingFaceH4/cai-conversation-harmless |
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- meta-math/MetaMathQA |
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- emozilla/yarn-train-tokenized-16k-mistral |
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- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset |
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- microsoft/orca-math-word-problems-200k |
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- m-a-p/Code-Feedback |
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- teknium/openhermes |
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- lksy/ru_instruct_gpt4 |
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- IlyaGusev/ru_turbo_saiga |
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- IlyaGusev/ru_sharegpt_cleaned |
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- IlyaGusev/oasst1_ru_main_branch |
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pipeline_tag: text-generation |
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--- |
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# maria-ai/Gistral-16B-Q4_K_S-GGUF |
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This model was converted to GGUF format from [`ehristoforu/Gistral-16B`](https://huggingface.co/ehristoforu/Gistral-16B) 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/ehristoforu/Gistral-16B) for more details on the model. |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama --hf-repo maria-ai/Gistral-16B-Q4_K_S-GGUF --hf-file gistral-16b-q4_k_s.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo maria-ai/Gistral-16B-Q4_K_S-GGUF --hf-file gistral-16b-q4_k_s.gguf -c 2048 |
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``` |
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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. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./main --hf-repo maria-ai/Gistral-16B-Q4_K_S-GGUF --hf-file gistral-16b-q4_k_s.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./server --hf-repo maria-ai/Gistral-16B-Q4_K_S-GGUF --hf-file gistral-16b-q4_k_s.gguf -c 2048 |
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``` |
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