LLM Name | Fast Apply V0.2 Qwen2.5 Coder 7B Ft |
Repository ๐ค | https://huggingface.co/quocdat25/fast-apply-v0.2-qwen2.5-Coder-7B-ft |
Model Size | 7b |
Required VRAM | 15.2 GB |
Updated | 2024-10-04 |
Maintainer | quocdat25 |
Model Type | qwen2 |
Model Files | |
Quantization Type | 4bit |
Generates Code | Yes |
Model Architecture | Qwen2ForCausalLM |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.44.2 |
Tokenizer Class | Qwen2Tokenizer |
Padding Token | <|PAD_TOKEN|> |
Vocabulary Size | 152064 |
Torch Data Type | bfloat16 |
Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
...2.5 Coder 7B Instruct Bnb 4bit | 32K / 5.5 GB | 606 | 4 |
Qwen2.5 Coder 7B Bnb 4bit | 32K / 5.5 GB | 470 | 2 |
Qwen2.5 Coder 7B Instruct | 32K / 15.2 GB | 41367 | 121 |
Qwen2.5 Coder 7B | 32K / 15.2 GB | 13902 | 27 |
Qwen2.5 Coder 7B Instruct AWQ | 32K / 5.6 GB | 2076 | 3 |
...abbitNeo 2.5 Qwen 2.5 Coder 7B | 32K / 15.2 GB | 25 | 4 |
Qwen2.5 Coder 7B Instruct | 32K / 15.3 GB | 65 | 2 |
Qwen2.5 Coder 7B | 32K / 15.3 GB | 68 | 1 |
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