2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Base model:maziyarpanahi/qwen2... Gguf Instruct Mistral Quantized Qwen Qwen-2 Region:us
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.8-GGUF
Qwen2 7B Instruct V0.8 GGUF Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Qwen2 7B Instruct V0.8 GGUF Parameters and Internals
| Model Type |
|
| LLM Name | Qwen2 7B Instruct V0.8 GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.8-GGUF |
| Model Name | Qwen2-7B-Instruct-v0.8-GGUF |
| Model Creator | MaziyarPanahi |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.5 GB |
| Updated | 2024-07-21 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to Qwen2 7B Instruct V0.8 GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 21 | 0 |
| Qwen UMLS 7B Instruct GGUF | 0K / 4.7 GB | 233 | 8 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 1629156 | 67 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 1511555 | 10 |
| Neumind Math 7B Instruct GGUF | 0K / 4.7 GB | 122 | 6 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 135619 | 406 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 63067 | 7 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Qwen2 7B Instruct V0.1 GGUF | 0K / 4.5 GB | 9714 | 0 |
| Qwen2 7B Instruct V0.7 GGUF | 0K / 4.5 GB | 9530 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Qwen2-7B-Instruct-v0.8-GGUF .
Rank the Qwen2 7B Instruct V0.8 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124