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 | 2024-12-22 |
| 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 |
|---|---|---|---|
| ...a 3 8B Instruct Gradient 1048K | 1024K / 16.1 GB | 5528 | 678 |
| Thor V1.4 8B DARK FICTION | 1024K / 16.1 GB | 941 | 2 |
| MrRoboto ProLong 8B V2b | 1024K / 16.1 GB | 177 | 0 |
| MrRoboto ProLong 8B V4b | 1024K / 16.1 GB | 94 | 0 |
| MrRoboto ProLong 8B V4c | 1024K / 16.1 GB | 79 | 0 |
| MrRoboto ProLong 8B V4e | 1024K / 16.1 GB | 43 | 0 |
| MrRoboto ProLong 8B V1a | 1024K / 16.1 GB | 107 | 0 |
| MrRoboto ProLong 8B V4f | 1024K / 16.1 GB | 38 | 0 |
| MrRoboto ProLong 8B V2a | 1024K / 16.1 GB | 101 | 0 |
| HEL V0.8 8B LONG DARK | 1024K / 16.1 GB | 200 | 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 v20241217