Model Type |
| |
Supported Languages |
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LLM Name | Faro Yi 9B DPO 8bpw EXL2 |
Repository ๐ค | https://huggingface.co/vikarti-anatra/Faro-Yi-9B-DPO-8bpw-exl2 |
Model Size | 9b |
Required VRAM | 8.3 GB |
Updated | 2025-06-09 |
Maintainer | vikarti-anatra |
Model Type | llama |
Model Files | |
Supported Languages | en zh |
Quantization Type | exl2 |
Model Architecture | LlamaForCausalLM |
License | mit |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.39.3 |
Tokenizer Class | LlamaTokenizer |
Padding Token | <unk> |
Vocabulary Size | 64000 |
Torch Data Type | bfloat16 |
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Faro Yi 9B DPO 6bpw EXL2 | 32K / 7 GB | 17 | 1 |
...5 9B Chat Quantized Merge 4Bit | 7K / 34 GB | 19 | 0 |
Master Yi 9B 8.0bpw H8 EXL2 | 4K / 8.7 GB | 16 | 2 |
Master Yi 9B 5.0bpw H6 EXL2 | 4K / 5.9 GB | 19 | 1 |
Master Yi 9B 4.0bpw H6 EXL2 | 4K / 4.9 GB | 18 | 1 |
Master Yi 9B 3.0bpw H6 EXL2 | 4K / 3.9 GB | 16 | 1 |
Master Yi 9B 6.0bpw H6 EXL2 | 4K / 7 GB | 7 | 1 |
Yi 1.5 9B 8bit | 4K / 9.3 GB | 4 | 1 |
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