Model Type |
| ||||||||||||
Use Cases |
| ||||||||||||
Supported Languages |
| ||||||||||||
Training Details |
| ||||||||||||
Input Output |
|
LLM Name | Qwen2 7B Instruct |
Repository ๐ค | https://huggingface.co/Qwen/Qwen2-7B-Instruct |
Base Model(s) | |
Model Size | 7b |
Required VRAM | 15.4 GB |
Updated | 2024-12-21 |
Maintainer | Qwen |
Model Type | qwen2 |
Instruction-Based | Yes |
Model Files | |
Supported Languages | en |
Model Architecture | Qwen2ForCausalLM |
License | apache-2.0 |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.41.2 |
Tokenizer Class | Qwen2Tokenizer |
Padding Token | <|endoftext|> |
Vocabulary Size | 152064 |
Torch Data Type | bfloat16 |
Errors | replace |
Model |
Likes |
Downloads |
VRAM |
---|---|---|---|
Qwen2 7B Instruct GGUF | 10 | 1968431 | 1 GB |
Qwen2 7B Instruct GPTQ Int4 | 23 | 16903 | 5 GB |
Qwen2 7B Instruct AWQ | 19 | 3570 | 5 GB |
Qwen2 7B Instruct GPTQ Int8 | 16 | 428 | 8 GB |
Qwen2 7B Instruct GGUF | 1 | 124 | 3 GB |
Qwen2 7B Instruct GGUF | 0 | 53 | 3 GB |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Cybertron V4 Qw7B UNAMGS | 128K / 15.2 GB | 2282 | 5 |
Gte Qwen2 7B Instruct | 128K / 30.5 GB | 41284 | 235 |
Cybertron V4 Qw7B MGS | 128K / 15.2 GB | 274 | 11 |
Rombos LLM V2.5 Qwen 7B | 128K / 15.2 GB | 300 | 15 |
Qwen2 7B Instruct V0.1 | 128K / 15.2 GB | 40968 | 1 |
Tsunami 0.5x 7B Instruct | 128K / 15.2 GB | 364 | 1 |
Qwen2 7B Instruct V0.8 | 128K / 15.2 GB | 40990 | 3 |
...areneg3Bv2 ECE PRYMMAL Martial | 128K / 15.2 GB | 60 | 1 |
Einstein V7 Qwen2 7B | 128K / 15.2 GB | 7145 | 35 |
Tsunami 0.5 7B Instruct | 128K / 15.2 GB | 362 | 0 |
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