Edit model card

Llamacpp Quantizations of Faro-Yi-9B-200K

Using llama.cpp release b2536 for quantization.

Original model: https://huggingface.co/wenbopan/Faro-Yi-9B-200K

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

Filename Quant type File Size Description
Faro-Yi-9B-200K-Q8_0.gguf Q8_0 9.38GB Extremely high quality, generally unneeded but max available quant.
Faro-Yi-9B-200K-Q6_K.gguf Q6_K 7.24GB Very high quality, near perfect, recommended.
Faro-Yi-9B-200K-Q5_K_M.gguf Q5_K_M 6.25GB High quality, very usable.
Faro-Yi-9B-200K-Q5_K_S.gguf Q5_K_S 6.10GB High quality, very usable.
Faro-Yi-9B-200K-Q5_0.gguf Q5_0 6.10GB High quality, older format, generally not recommended.
Faro-Yi-9B-200K-Q4_K_M.gguf Q4_K_M 5.32GB Good quality, uses about 4.83 bits per weight.
Faro-Yi-9B-200K-Q4_K_S.gguf Q4_K_S 5.07GB Slightly lower quality with small space savings.
Faro-Yi-9B-200K-IQ4_NL.gguf IQ4_NL 5.08GB Decent quality, similar to Q4_K_S, new method of quanting,
Faro-Yi-9B-200K-IQ4_XS.gguf IQ4_XS 4.82GB Decent quality, new method with similar performance to Q4.
Faro-Yi-9B-200K-Q4_0.gguf Q4_0 5.03GB Decent quality, older format, generally not recommended.
Faro-Yi-9B-200K-Q3_K_L.gguf Q3_K_L 4.69GB Lower quality but usable, good for low RAM availability.
Faro-Yi-9B-200K-Q3_K_M.gguf Q3_K_M 4.32GB Even lower quality.
Faro-Yi-9B-200K-IQ3_M.gguf IQ3_M 4.05GB Medium-low quality, new method with decent performance.
Faro-Yi-9B-200K-IQ3_S.gguf IQ3_S 3.91GB Lower quality, new method with decent performance, recommended over Q3 quants.
Faro-Yi-9B-200K-Q3_K_S.gguf Q3_K_S 3.89GB Low quality, not recommended.
Faro-Yi-9B-200K-Q2_K.gguf Q2_K 3.35GB Extremely low quality, not recommended.

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

Downloads last month
791
GGUF
+1
Inference Examples
Unable to determine this model's library. Check the docs .

Datasets used to train bartowski/Faro-Yi-9B-200K-GGUF