Autotrain compatible Compressed-tensors Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test
Meta Llama 3 8B FP8 Compressed Tensors Test 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)
Meta Llama 3 8B FP8 Compressed Tensors Test Parameters and Internals
| LLM Name | Meta Llama 3 8B FP8 Compressed Tensors Test |
| Repository 🤗 | https://huggingface.co/nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test |
| Model Size | 8b |
| Required VRAM | 9.1 GB |
| Updated | 2025-02-09 |
| Maintainer | nm-testing |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
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Note: green Score (e.g. "73.2") means that the model is better than nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test .
Rank the Meta Llama 3 8B FP8 Compressed Tensors Test Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227