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 | 2025-07-02 |
| 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
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Downloads |
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| Pixel | 8K / 4.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 215225 | 104 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 198644 | 11 |
| Conversely Mistral 7B | 0K / 0.2 GB | 222 | 0 |
| WizardLM 2 7B GGUF | 0K / 2.7 GB | 189665 | 81 |
| CleverBoi 7B V2 | 0K / 0.1 GB | 186 | 0 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 61895 | 445 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 60 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 27420 | 9 |
| Mistral 7B Instruct V0.1 GGUF | 0K / 3.1 GB | 121735 | 585 |
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 v20241124