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Additional Notes | Fine-tuned to avoid using typical language from RLHFed models such as 'It's important to remember.' | ||||||||||||
Training Details |
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Input Output |
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LLM Name | Yi 34B 200K AEZAKMI V2 |
Repository ๐ค | https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-v2 |
Model Size | 34b |
Required VRAM | 69.2 GB |
Updated | 2024-11-09 |
Maintainer | adamo1139 |
Model Type | llama |
Model Files | |
Model Architecture | LlamaForCausalLM |
License | apache-2.0 |
Context Length | 200000 |
Model Max Length | 200000 |
Transformers Version | 4.34.0 |
Tokenizer Class | LlamaTokenizer |
Padding Token | <unk> |
Vocabulary Size | 64000 |
Torch Data Type | bfloat16 |
Model |
Likes |
Downloads |
VRAM |
---|---|---|---|
Yi 34B 200K AEZAKMI V2 GGUF | 3 | 211 | 14 GB |
Yi 34B 200K AEZAKMI V2 GPTQ | 2 | 12 | 18 GB |
Yi 34B 200K AEZAKMI V2 AWQ | 2 | 12 | 19 GB |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
34B Beta | 195K / 69.2 GB | 3648 | 62 |
Yi 34B 200K | 195K / 68.9 GB | 5214 | 317 |
Bagel 34B V0.2 | 195K / 68.7 GB | 9514 | 39 |
Bagel Hermes 34B Slerp | 195K / 68.9 GB | 3959 | 1 |
Smaug 34B V0.1 | 195K / 69.2 GB | 3208 | 60 |
Smaug 34B V0.1 ExPO | 195K / 69.2 GB | 2816 | 0 |
Mergekit Slerp Anaazls | 195K / 69.2 GB | 36 | 0 |
Faro Yi 34B | 195K / 69.2 GB | 3576 | 6 |
Bagel DPO 34B V0.5 | 195K / 68.7 GB | 2842 | 17 |
Bagel DPO 34B V0.2 | 195K / 69.2 GB | 3642 | 98 |
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