README.md · bartowski/Mistral-7B-v0.2-hf-GGUF at main

metadata

license: apache-2.0
pipeline_tag: text-generation
inference: true
quantized_by: bartowski

Llamacpp Quantizations of Mistral-7B-v0.2-hf

Using llama.cpp release b2440 for quantization.

Download a file (not the whole branch) from below:

Filename	Quant type	File Size	Description
Mistral-7B-v0.2-hf-Q8_0.gguf	Q8_0	7.69GB	Extremely high quality, generally unneeded but max available quant.
Mistral-7B-v0.2-hf-Q6_K.gguf	Q6_K	5.94GB	Very high quality, near perfect, recommended.
Mistral-7B-v0.2-hf-Q5_K_M.gguf	Q5_K_M	5.13GB	High quality, very usable.
Mistral-7B-v0.2-hf-Q5_K_S.gguf	Q5_K_S	4.99GB	High quality, very usable.
Mistral-7B-v0.2-hf-Q5_0.gguf	Q5_0	4.99GB	High quality, older format, generally not recommended.
Mistral-7B-v0.2-hf-Q4_K_M.gguf	Q4_K_M	4.36GB	Good quality, similar to 4.25 bpw.
Mistral-7B-v0.2-hf-Q4_K_S.gguf	Q4_K_S	4.14GB	Slightly lower quality with small space savings.
Mistral-7B-v0.2-hf-IQ4_NL.gguf	IQ4_NL	4.15GB	Good quality, similar to Q4_K_S, new method of quanting,
Mistral-7B-v0.2-hf-IQ4_XS.gguf	IQ4_XS	3.94GB	Decent quality, new method with similar performance to Q4.
Mistral-7B-v0.2-hf-Q4_0.gguf	Q4_0	4.10GB	Decent quality, older format, generally not recommended.
Mistral-7B-v0.2-hf-IQ3_M.gguf	IQ3_M	3.28GB	Medium-low quality, new method with decent performance.
Mistral-7B-v0.2-hf-IQ3_S.gguf	IQ3_S	3.18GB	Lower quality, new method with decent performance, recommended over Q3 quants.
Mistral-7B-v0.2-hf-Q3_K_L.gguf	Q3_K_L	3.82GB	Lower quality but usable, good for low RAM availability.
Mistral-7B-v0.2-hf-Q3_K_M.gguf	Q3_K_M	3.51GB	Even lower quality.
Mistral-7B-v0.2-hf-Q3_K_S.gguf	Q3_K_S	3.16GB	Low quality, not recommended.
Mistral-7B-v0.2-hf-Q2_K.gguf	Q2_K	2.71GB	Extremely low quality, not recommended.

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski