--- license: apache-2.0 tags: - finetuned - llama-cpp - gguf-my-repo pipeline_tag: text-generation new_version: mistralai/Mistral-7B-Instruct-v0.3 inference: true widget: - messages: - role: user content: What is your favorite condiment? extra_gated_description: If you want to learn more about how we process your personal data, please read our Privacy Policy. --- # AIronMind/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF This model was converted to GGUF format from [`mistralai/Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew. ```bash brew install ggerganov/ggerganov/llama.cpp ``` Invoke the llama.cpp server or the CLI. CLI: ```bash llama-cli --hf-repo AIronMind/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF --model mistral-7b-instruct-v0.2.Q4_K_M.gguf -p "The meaning to life and the universe is" ``` Server: ```bash llama-server --hf-repo AIronMind/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF --model mistral-7b-instruct-v0.2.Q4_K_M.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. ``` git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m mistral-7b-instruct-v0.2.Q4_K_M.gguf -n 128 ```