Model Card on HF 🤗: https://huggingface.co/Q-bert/outputs
Outputs 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)
Outputs Parameters and Internals
| LLM Name | Outputs |
| Repository 🤗 | https://huggingface.co/Q-bert/outputs |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0 GB |
| Updated | 2024-08-30 |
| Maintainer | Q-bert |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Outputs
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...1M 1000000ctx AEZAKMI 3 1 1702 | 1024K / 13.5 GB | 53 | 1 |
| ... Qwen2.5llamaify 7B V23.1 200K | 195K / 15.2 GB | 4950 | 2 |
| LlamaStock 8B | 128K / 16.1 GB | 15 | 1 |
| SuperNeuralDreadDevil 8B | 128K / 16.1 GB | 31 | 1 |
| Yarn Llama 2 7B 128K | 128K / 13.5 GB | 5705 | 39 |
| LLaMA 7B PoSE YaRN 128K | 128K / 13.5 GB | 8 | 3 |
| LLaMA 7B PoSE Linear 96K | 96K / 27 GB | 8 | 2 |
| LLaMA 7B PoSE YaRN 96K | 96K / 13.5 GB | 8 | 1 |
| Chat Llama2 7B 80K | 80K / 13.8 GB | 6 | 0 |
| Llama2 7B 80K | 80K / 13.8 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Q-bert/outputs .
Rank the Outputs Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227