4bit Base model:unsloth/qwen2-7b-in... En Endpoints compatible Gguf Instruct License:apache-2.0 Quantized Qwen2 Region:us Unsloth
Model Card on HF 🤗: https://huggingface.co/Ammartatox/qwen2q
Qwen2q Parameters and Internals
| LLM Name | Qwen2q |
| Repository 🤗 | https://huggingface.co/Ammartatox/qwen2q |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.7 GB |
| Updated | 2024-07-04 |
| Maintainer | Ammartatox |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Qwen2q
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 2514013 | 83 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 1733987 | 11 |
| QwQ LCoT 7B Instruct GGUF | 0K / 4.7 GB | 1125 | 12 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 50271 | 9 |
| Neumind Math 7B Instruct GGUF | 0K / 4.7 GB | 295 | 14 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 62 | 0 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 94021 | 423 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Mistral 7B Instruct V0.1 GGUF | 0K / 3.1 GB | 269216 | 533 |
Note: green Score (e.g. "73.2") means that the model is better than Ammartatox/qwen2q .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227