Arxiv:2309.00071 Base model:nousresearch/yarn-l... Base model:quantized:nousresea... Dataset:pg19 Gguf Llama Quantized Region:us Yarn
Model Card on HF 🤗: https://huggingface.co/TheBloke/Yarn-Llama-2-7B-64K-GGUF
Yarn Llama 2 7B 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 Llama 2 7B 64K GGUF Parameters and Internals
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| LLM Name | Yarn Llama 2 7B 64K GGUF |
| Repository 🤗 | https://huggingface.co/TheBloke/Yarn-Llama-2-7B-64K-GGUF |
| Model Name | Yarn Llama 2 7B 64K |
| Model Creator | NousResearch |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.8 GB |
| Updated | 2024-12-22 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | llama2 |
Best Alternatives to Yarn Llama 2 7B 64K GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 19 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 2034820 | 68 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 1971571 | 10 |
| WizardLM 2 7B GGUF | 0K / 2.7 GB | 1997231 | 74 |
| Qwen UMLS 7B Instruct GGUF | 0K / 4.7 GB | 991 | 8 |
| QwQ LCoT 7B Instruct GGUF | 0K / 4.7 GB | 347 | 7 |
| Conversely Mistral 7B | 0K / 0.2 GB | 295 | 0 |
| Neumind Math 7B Instruct GGUF | 0K / 4.7 GB | 158 | 7 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 130530 | 407 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 62415 | 8 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yarn-Llama-2-7B-64K-GGUF .
Rank the Yarn Llama 2 7B 64K GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217