Model Type |
| |||||||||
Use Cases |
| |||||||||
Supported Languages |
| |||||||||
Training Details |
| |||||||||
Input Output |
|
LLM Name | Qwen2.5 7B Instruct GPTQ Int4 |
Repository ๐ค | https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4 |
Base Model(s) | |
Model Size | 7b |
Required VRAM | 5.6 GB |
Updated | 2025-03-12 |
Maintainer | Qwen |
Model Type | qwen2 |
Instruction-Based | Yes |
Model Files | |
Supported Languages | en |
GPTQ Quantization | Yes |
Quantization Type | gptq |
Model Architecture | Qwen2ForCausalLM |
License | apache-2.0 |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.39.3 |
Tokenizer Class | Qwen2Tokenizer |
Padding Token | <|endoftext|> |
Vocabulary Size | 152064 |
Torch Data Type | float16 |
Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Qwen2.5 7B Instruct GPTQ Int8 | 32K / 8.9 GB | 30507 | 14 |
....5 Coder 7B Instruct GPTQ Int4 | 32K / 5.6 GB | 27597 | 6 |
....5 Coder 7B Instruct GPTQ Int8 | 32K / 8.9 GB | 24752 | 4 |
Qwen2 7B Instruct GPTQ Int4 | 32K / 5.6 GB | 2706 | 25 |
Qwen2 7B Instruct GPTQ Int8 | 32K / 8.9 GB | 311 | 17 |
...B Instruct 1M Unsloth Bnb 4bit | 986K / 7.5 GB | 1233 | 2 |
Qwen2.5 7B Instruct 1M 4bit | 986K / 4.3 GB | 621 | 6 |
Qwen2.5 7B Instruct 1M 8bit | 986K / 8.1 GB | 155 | 2 |
Distill Qw Test | 32K / 15.2 GB | 27 | 0 |
...5 7B Instruct Unsloth Bnb 4bit | 32K / 7.2 GB | 82180 | 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