2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Base model:maziyarpanahi/llama... Base model:quantized:maziyarpa... Conversational Gguf Instruct Mistral Mixtral Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Llama-3-16B-Instruct-v0.1-GGUF
Llama 3 16B Instruct V0.1 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)
Llama 3 16B Instruct V0.1 GGUF Parameters and Internals
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| Additional Notes |
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| LLM Name | Llama 3 16B Instruct V0.1 GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/Llama-3-16B-Instruct-v0.1-GGUF |
| Model Name | Llama-3-16B-Instruct-v0.1-GGUF |
| Model Creator | MaziyarPanahi |
| Base Model(s) | |
| Model Size | 16b |
| Required VRAM | 6.4 GB |
| Updated | 2024-12-22 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Rank the Llama 3 16B Instruct V0.1 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217