metadata
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: >-
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AIronMind/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from mistralai/Mistral-7B-Instruct-v0.2
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
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:
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 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