Additional Notes |
|
LLM Name | Pygmalion 2 13B SuperCOT EXL2 |
Repository ๐ค | https://huggingface.co/royallab/Pygmalion-2-13b-SuperCOT-exl2 |
Base Model(s) | |
Model Size | 13b |
Required VRAM | 6.8 GB |
Updated | 2024-12-26 |
Maintainer | royallab |
Model Type | llama |
Model Files | |
Supported Languages | en |
Quantization Type | exl2 |
Model Architecture | LlamaForCausalLM |
Context Length | 4096 |
Model Max Length | 4096 |
Transformers Version | 4.34.0.dev0 |
Tokenizer Class | LlamaTokenizer |
Beginning of Sentence Token | <s> |
End of Sentence Token | </s> |
Unk Token | <unk> |
Vocabulary Size | 32000 |
Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Llama13b 32K Illumeet Finetune | 32K / 26 GB | 25 | 0 |
...Maid V3 13B 32K 6.0bpw H6 EXL2 | 32K / 10 GB | 20 | 1 |
...Maid V3 13B 32K 8.0bpw H8 EXL2 | 32K / 13.2 GB | 18 | 1 |
WhiteRabbitNeo 13B V1 | 16K / 26 GB | 1652 | 405 |
CodeLlama 13B Python Fp16 | 16K / 26 GB | 1481 | 25 |
CodeLlama 13B Instruct Fp16 | 16K / 26 GB | 1931 | 29 |
CodeLlama 13B Fp16 | 16K / 26 GB | 18 | 66 |
Codellama 13B Bnb 4bit | 16K / 7.2 GB | 91 | 1 |
...Llama 13B Instruct Hf 4bit MLX | 16K / 7.8 GB | 47 | 2 |
Trinity 13B | 16K / 26 GB | 26 | 15 |
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