2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Automerger Autotrain compatible Base model:automerger/yamshado... Base model:corticalstack/shado... Base model:quantized:automerge... Endpoints compatible Gguf Lazymergekit Merge Mergekit Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/YamShadow-7B-GGUF
YamShadow 7B 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)
YamShadow 7B GGUF Parameters and Internals
| Model Type |
|
| LLM Name | YamShadow 7B GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/YamShadow-7B-GGUF |
| Model Name | YamShadow-7B-GGUF |
| Model Creator | automerger |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.7 GB |
| Updated | 2025-08-10 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to YamShadow 7B GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 199053 | 107 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 171741 | 11 |
| Conversely Mistral 7B | 0K / 0.2 GB | 55 | 0 |
| WizardLM 2 7B GGUF | 0K / 2.7 GB | 173078 | 82 |
| CleverBoi 7B V2 | 0K / 0.1 GB | 96 | 0 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 14 | 0 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 22565 | 10 |
| Deepthink Reasoning 7B GGUF | 0K / 4.7 GB | 198 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/YamShadow-7B-GGUF .
Rank the YamShadow 7B GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124