Arxiv:2309.00071 2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:nousresearch/yarn-s... Base model:quantized:nousresea... Custom code Dataset:emozilla/yarn-train-to... En Endpoints compatible Gguf Llama Mistral Pytorch Quantized Region:us Yarn
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Yarn-Solar-10b-64k-GGUF
Yarn Solar 10B 64K 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)
Yarn Solar 10B 64K GGUF Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Yarn Solar 10B 64K GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/Yarn-Solar-10b-64k-GGUF |
| Model Name | Yarn-Solar-10b-64k-GGUF |
| Model Creator | NousResearch |
| Base Model(s) | |
| Model Size | 10b |
| Required VRAM | 4 GB |
| Updated | 2025-03-12 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to Yarn Solar 10B 64K GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Triangulum 10B GGUF | 0K / 3.9 GB | 506 | 11 |
| Yarn Solar 10B 32K GGUF | 0K / 4 GB | 866 | 1 |
| Madlad400 10B Mt Ct2 Int8 | 0K / 10.7 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Yarn-Solar-10b-64k-GGUF .
Rank the Yarn Solar 10B 64K GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227