Model Type |
| ||||||
Use Cases |
| ||||||
Training Details |
| ||||||
Input Output |
|
LLM Name | Fairseq Dense 2.7B Nerys |
Repository ๐ค | https://huggingface.co/KoboldAI/fairseq-dense-2.7B-Nerys |
Model Size | 2.7b |
Required VRAM | 5.3 GB |
Updated | 2025-09-23 |
Maintainer | KoboldAI |
Model Type | xglm |
Model Files | |
Supported Languages | en |
Model Architecture | XGLMForCausalLM |
License | mit |
Context Length | 2048 |
Model Max Length | 2048 |
Transformers Version | 4.18.0 |
Tokenizer Class | GPT2Tokenizer |
Beginning of Sentence Token | <|endoftext|> |
End of Sentence Token | <|endoftext|> |
Unk Token | <|endoftext|> |
Vocabulary Size | 50261 |
Torch Data Type | float16 |
Activation Function | gelu |
Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Fairseq Dense 2.7B | 2K / 5.5 GB | 741 | 3 |
Fairseq Dense 2.7B Janeway | 2K / 10.6 GB | 35 | 2 |
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐