| Model Type |
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| Additional Notes |
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| Training Details |
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| Input Output |
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| LLM Name | Reflection 70B Bnb 4bit |
| Repository ๐ค | https://huggingface.co/unsloth/Reflection-70B-bnb-4bit |
| Base Model(s) | |
| Model Size | 70b |
| Required VRAM | 39.7 GB |
| Updated | 2024-09-06 |
| Maintainer | unsloth |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | llama3.1 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...B Instruct Gradient 1048K 8bit | 1024K / 75 GB | 28 | 5 |
| ...B Instruct Gradient 1048K 4bit | 1024K / 39.7 GB | 8 | 3 |
| ...B Instruct Gradient 1048K 2bit | 1024K / 21.9 GB | 17 | 2 |
| ...0B Instruct Gradient 262K 4bit | 256K / 39.7 GB | 10 | 3 |
| ...0B Instruct Gradient 262K 8bit | 256K / 75 GB | 5 | 2 |
| ...0B Instruct Gradient 262K 2bit | 256K / 21.9 GB | 9 | 1 |
| ... Gradient 262K 2.25bpw H6 EXL2 | 256K / 22.2 GB | 8 | 0 |
| ...t Gradient 262K 3.5bpw H6 EXL2 | 256K / 32.9 GB | 6 | 0 |
| ...t Gradient 262K 4.0bpw H6 EXL2 | 256K / 37.2 GB | 1 | 1 |
| ...t Gradient 262K 2.4bpw H6 EXL2 | 256K / 23.5 GB | 5 | 0 |
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