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LLM Name | Miqu 1 103B 3.5bpw H6 EXL2 |
Repository ๐ค | https://huggingface.co/LoneStriker/miqu-1-103b-3.5bpw-h6-exl2 |
Base Model(s) | |
Merged Model | Yes |
Model Size | 70b |
Required VRAM | 45.6 GB |
Updated | 2024-12-23 |
Maintainer | LoneStriker |
Model Type | llama |
Model Files | |
Supported Languages | en de fr es it |
Quantization Type | exl2 |
Model Architecture | LlamaForCausalLM |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.37.2 |
Tokenizer Class | LlamaTokenizer |
Padding Token | <unk> |
Vocabulary Size | 32000 |
Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
...B Instruct Gradient 1048K 8bit | 1024K / 75 GB | 15 | 5 |
...B Instruct Gradient 1048K 4bit | 1024K / 39.7 GB | 18 | 3 |
...B Instruct Gradient 1048K 2bit | 1024K / 21.9 GB | 12 | 2 |
...0B Instruct Gradient 262K 4bit | 256K / 39.7 GB | 16 | 3 |
...0B Instruct Gradient 262K 8bit | 256K / 75 GB | 8 | 2 |
...0B Instruct Gradient 262K 2bit | 256K / 21.9 GB | 15 | 1 |
...t Gradient 262K 4.0bpw H6 EXL2 | 256K / 37.2 GB | 16 | 1 |
... Gradient 262K 2.25bpw H6 EXL2 | 256K / 22.2 GB | 8 | 0 |
...t Gradient 262K 2.4bpw H6 EXL2 | 256K / 23.5 GB | 12 | 0 |
...t Gradient 262K 3.5bpw H6 EXL2 | 256K / 32.9 GB | 6 | 0 |
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