Model Card on HF 🤗: https://huggingface.co/winglian/Meta-Llama-3-8B-1M-v2
Meta Llama 3 8B 1M V2 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 1M V2 Parameters and Internals
| LLM Name | Meta Llama 3 8B 1M V2 |
| Repository 🤗 | https://huggingface.co/winglian/Meta-Llama-3-8B-1M-v2 |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2025-03-03 |
| Maintainer | winglian |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 1048576 |
| Model Max Length | 1048576 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Meta Llama 3 8B 1M V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
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| ...a 3 8B Instruct Gradient 1048K | 1024K / 16.1 GB | 4185 | 680 |
| 218 | 1024K / 16.1 GB | 75 | 0 |
| MrRoboto ProLong 8B V4i | 1024K / 16.1 GB | 66 | 1 |
| 114 | 1024K / 16.1 GB | 174 | 0 |
| 116 Muh | 1024K / 16.1 GB | 165 | 0 |
| 155 | 1024K / 16.1 GB | 97 | 0 |
| 171 | 1024K / 16.1 GB | 92 | 0 |
| 95 | 1024K / 16.1 GB | 139 | 0 |
| 91 | 1024K / 16.1 GB | 129 | 0 |
| 123 | 1024K / 16.1 GB | 97 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than winglian/Meta-Llama-3-8B-1M-v2 .
Rank the Meta Llama 3 8B 1M V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227