Llama2 7B 80K 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)
Llama2 7B 80K Parameters and Internals
| LLM Name | Llama2 7B 80K |
| Repository 🤗 | https://huggingface.co/hongyin/llama2-7b-80k |
| Model Size | 7b |
| Required VRAM | 13.8 GB |
| Updated | 2024-10-04 |
| Maintainer | hongyin |
| Model Type | llama |
| Model Files | |
| Supported Languages | en zh |
| Model Architecture | LlamaForCausalLM |
| Context Length | 81920 |
| Model Max Length | 81920 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 49304 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama2 7B 80K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...1M 1000000ctx AEZAKMI 3 1 1702 | 1024K / 13.5 GB | 56 | 1 |
| Yarn Llama 2 7B 128K | 128K / 13.5 GB | 1673 | 38 |
| LLaMA 7B PoSE YaRN 128K | 128K / 13.5 GB | 3 | 3 |
| LLaMA 7B PoSE Linear 96K | 96K / 27 GB | 8 | 2 |
| LLaMA 7B PoSE YaRN 96K | 96K / 13.5 GB | 3 | 1 |
| Chat Llama2 7B 80K | 80K / 13.8 GB | 12 | 0 |
| Lloma Step400 | 64K / 13.5 GB | 57 | 0 |
| Lloma Step200 | 64K / 13.5 GB | 62 | 0 |
| Lloma Step50 | 64K / 13.5 GB | 54 | 0 |
| 666 | 64K / 13.5 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than hongyin/llama2-7b-80k .
Rank the Llama2 7B 80K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803