metadata
license: apache-2.0
base_model: []
library_name: transformers
tags:
- mergekit
- merge
pipeline_tag: text-generation
quantized_by: bartowski
Llamacpp Quantizations of Tess-10.7B-v2.0
Using llama.cpp release b2536 for quantization.
Original model: https://huggingface.co/Joseph717171/Tess-10.7B-v2.0
Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Tess-10.7B-v2.0-Q8_0.gguf | Q8_0 | 11.40GB | Extremely high quality, generally unneeded but max available quant. |
| Tess-10.7B-v2.0-Q6_K.gguf | Q6_K | 8.80GB | Very high quality, near perfect, recommended. |
| Tess-10.7B-v2.0-Q5_K_M.gguf | Q5_K_M | 7.59GB | High quality, very usable. |
| Tess-10.7B-v2.0-Q5_K_S.gguf | Q5_K_S | 7.39GB | High quality, very usable. |
| Tess-10.7B-v2.0-Q5_0.gguf | Q5_0 | 7.39GB | High quality, older format, generally not recommended. |
| Tess-10.7B-v2.0-Q4_K_M.gguf | Q4_K_M | 6.46GB | Good quality, uses about 4.83 bits per weight. |
| Tess-10.7B-v2.0-Q4_K_S.gguf | Q4_K_S | 6.11GB | Slightly lower quality with small space savings. |
| Tess-10.7B-v2.0-IQ4_NL.gguf | IQ4_NL | 6.14GB | Decent quality, similar to Q4_K_S, new method of quanting, |
| Tess-10.7B-v2.0-IQ4_XS.gguf | IQ4_XS | 5.82GB | Decent quality, new method with similar performance to Q4. |
| Tess-10.7B-v2.0-Q4_0.gguf | Q4_0 | 6.07GB | Decent quality, older format, generally not recommended. |
| Tess-10.7B-v2.0-Q3_K_L.gguf | Q3_K_L | 5.65GB | Lower quality but usable, good for low RAM availability. |
| Tess-10.7B-v2.0-Q3_K_M.gguf | Q3_K_M | 5.19GB | Even lower quality. |
| Tess-10.7B-v2.0-IQ3_M.gguf | IQ3_M | 4.84GB | Medium-low quality, new method with decent performance. |
| Tess-10.7B-v2.0-IQ3_S.gguf | IQ3_S | 4.69GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
| Tess-10.7B-v2.0-Q3_K_S.gguf | Q3_K_S | 4.66GB | Low quality, not recommended. |
| Tess-10.7B-v2.0-Q2_K.gguf | Q2_K | 4.00GB | Extremely low quality, not recommended. |
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