metadata
license: apache-2.0
datasets:
- Azure99/blossom-chat-v3
- Azure99/blossom-math-v4
- Azure99/blossom-wizard-v3
- Azure99/blossom-orca-v3
language:
- zh
- en
quantized_by: bartowski
pipeline_tag: text-generation
Llamacpp Quantizations of blossom-v5-14b
Using llama.cpp release b2440 for quantization.
Original model: https://huggingface.co/Azure99/blossom-v5-14b
Download a file (not the whole branch) from below:
Filename | Quant type | File Size | Description |
---|---|---|---|
blossom-v5-14b-Q8_0.gguf | Q8_0 | 15.06GB | Extremely high quality, generally unneeded but max available quant. |
blossom-v5-14b-Q6_K.gguf | Q6_K | 12.31GB | Very high quality, near perfect, recommended. |
blossom-v5-14b-Q5_K_M.gguf | Q5_K_M | 10.53GB | High quality, very usable. |
blossom-v5-14b-Q5_K_S.gguf | Q5_K_S | 10.02GB | High quality, very usable. |
blossom-v5-14b-Q5_0.gguf | Q5_0 | 9.85GB | High quality, older format, generally not recommended. |
blossom-v5-14b-Q4_K_M.gguf | Q4_K_M | 9.19GB | Good quality, similar to 4.25 bpw. |
blossom-v5-14b-Q4_K_S.gguf | Q4_K_S | 8.56GB | Slightly lower quality with small space savings. |
blossom-v5-14b-IQ4_NL.gguf | IQ4_NL | 8.24GB | Good quality, similar to Q4_K_S, new method of quanting, |
blossom-v5-14b-IQ4_XS.gguf | IQ4_XS | 7.91GB | Decent quality, new method with similar performance to Q4. |
blossom-v5-14b-Q4_0.gguf | Q4_0 | 8.17GB | Decent quality, older format, generally not recommended. |
blossom-v5-14b-IQ3_M.gguf | IQ3_M | 7.09GB | Medium-low quality, new method with decent performance. |
blossom-v5-14b-IQ3_S.gguf | IQ3_S | 6.77GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
blossom-v5-14b-Q3_K_L.gguf | Q3_K_L | 7.84GB | Lower quality but usable, good for low RAM availability. |
blossom-v5-14b-Q3_K_M.gguf | Q3_K_M | 7.41GB | Even lower quality. |
blossom-v5-14b-Q3_K_S.gguf | Q3_K_S | 6.77GB | Low quality, not recommended. |
blossom-v5-14b-Q2_K.gguf | Q2_K | 5.91GB | Extremely low quality, not recommended. |
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