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mukel/Codestral-22B-v0.1-GGUF
Codestral-22B-v0.1-GGUF is a machine learning model from mukel. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
In the wild, Q80 quantizations are fine, but Q40 quantizations are rarely pure e.g. the output.weights tensor is quantized with Q6K, instead of Q40. A pure Q40 quantization can be generated from a high precision (F32,…
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.gguf36.2 GB · 100%
From the Hugging Face model README
Codestral-22B-v0.1 for mistral.java.In the wild, Q8_0 quantizations are fine, but Q4_0 quantizations are rarely pure e.g. the output.weights tensor is quantized with Q6_K, instead of Q4_0.
A pure Q4_0 quantization can be generated from a high precision (F32, F16, BFLOAT16) .gguf source with the quantize utility from llama.cpp as follows:
./quantize --pure ./Codestral-22B-v0.1-F32.gguf ./Codestral-22B-v0.1-Q4_0.gguf Q4_0
Original model: https://huggingface.co/mistralai/Codestral-22B-v0.1
**Note that this model does not support a System prompt.
Codestrall-22B-v0.1 is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash (more details in the Blogpost). The model can be queried: