LLM Name | Yi 1.5 9B Chat AWQ |
Repository ๐ค | https://huggingface.co/modelscope/Yi-1.5-9B-Chat-AWQ |
Base Model(s) | |
Model Size | 9b |
Required VRAM | 5.3 GB |
Updated | 2024-09-07 |
Maintainer | modelscope |
Model Type | llama |
Model Files | |
AWQ Quantization | Yes |
Quantization Type | awq |
Model Architecture | LlamaForCausalLM |
License | apache-2.0 |
Context Length | 4096 |
Model Max Length | 4096 |
Transformers Version | 4.39.3 |
Tokenizer Class | LlamaTokenizer |
Padding Token | <unk> |
Vocabulary Size | 64000 |
Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
01 Ai Yi 1.5 9B Chat AWQ | 4K / 5.4 GB | 6 | 0 |
01 Ai Yi 1.5 9B AWQ | 4K / 5.4 GB | 5 | 0 |
Yi 9B 200K 3.0bpw H6 EXL2 | 256K / 3.9 GB | 4 | 1 |
Yi 9B 200K 6.0bpw H6 EXL2 | 256K / 7 GB | 4 | 1 |
Faro Yi 9B DPO 6bpw EXL2 | 32K / 7 GB | 4 | 1 |
Faro Yi 9B DPO 8bpw EXL2 | 32K / 8.3 GB | 4 | 1 |
Master Yi 9B 8.0bpw H8 EXL2 | 4K / 8.7 GB | 3 | 2 |
Master Yi 9B 3.0bpw H6 EXL2 | 4K / 3.9 GB | 5 | 1 |
Master Yi 9B 6.0bpw H6 EXL2 | 4K / 7 GB | 5 | 1 |
Master Yi 9B 4.0bpw H6 EXL2 | 4K / 4.9 GB | 2 | 1 |
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