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tomasonjo
/
text2cypher-codestral-q4_k_m-gguf

Transformers
GGUF
English
mistral
text-generation-inference
unsloth
Model card Files
xet
 Community
How to use from
llama.cpp
Install (macOS, Linux) 
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tomasonjo/text2cypher-codestral-q4_k_m-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf tomasonjo/text2cypher-codestral-q4_k_m-gguf:Q4_K_M
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tomasonjo/text2cypher-codestral-q4_k_m-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf tomasonjo/text2cypher-codestral-q4_k_m-gguf:Q4_K_M
Use pre-built binary 
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf tomasonjo/text2cypher-codestral-q4_k_m-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf tomasonjo/text2cypher-codestral-q4_k_m-gguf:Q4_K_M
Build from source code 
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf tomasonjo/text2cypher-codestral-q4_k_m-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tomasonjo/text2cypher-codestral-q4_k_m-gguf:Q4_K_M
Use Docker 
docker model run hf.co/tomasonjo/text2cypher-codestral-q4_k_m-gguf:Q4_K_M
Quick Links

Uploaded model

  • Developed by: tomasonjo
  • License: apache-2.0
  • Finetuned from model : mistralai/Codestral-22B-v0.1

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

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149
GGUF
Model size
22B params
Architecture
llama
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mistralai/Codestral-22B-v0.1
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