Model Card on HF 🤗: https://huggingface.co/yyh0901/666
666 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)
666 Parameters and Internals
| Model Type |
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| Supported Languages |
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| Training Details |
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| LLM Name | 666 |
| Repository 🤗 | https://huggingface.co/yyh0901/666 |
| Model Size | 7b |
| Required VRAM | 13.5 GB |
| Updated | 2024-12-21 |
| Maintainer | yyh0901 |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.39.2 |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to 666
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...1M 1000000ctx AEZAKMI 3 1 1702 | 1024K / 13.5 GB | 86 | 1 |
| ... Qwen2.5llamaify 7B V23.1 200K | 195K / 15.2 GB | 2982 | 0 |
| SuperNeuralDreadDevil 8B | 128K / 16.1 GB | 187 | 1 |
| Yarn Llama 2 7B 128K | 128K / 13.5 GB | 2296 | 40 |
| LLaMA 7B PoSE YaRN 128K | 128K / 13.5 GB | 11 | 3 |
| LLaMA 7B PoSE Linear 96K | 96K / 27 GB | 10 | 2 |
| LLaMA 7B PoSE YaRN 96K | 96K / 13.5 GB | 11 | 1 |
| Chat Llama2 7B 80K | 80K / 13.8 GB | 26 | 0 |
| Llama2 7B 80K | 80K / 13.8 GB | 25 | 0 |
| Lloma Step400 | 64K / 13.5 GB | 80 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than yyh0901/666 .
Rank the 666 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217