Lite Oute 1 65M 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)
Lite Oute 1 65M Parameters and Internals
| LLM Name | Lite Oute 1 65M |
| Repository 🤗 | https://huggingface.co/OuteAI/Lite-Oute-1-65M |
| Model Size | 65m |
| Required VRAM | 0.3 GB |
| Updated | 2024-09-16 |
| Maintainer | OuteAI |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.42.4 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32768 |
| Torch Data Type | float32 |
Best Alternatives to Lite Oute 1 65M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Lite Oute 1 65M Instruct | 2K / 0.3 GB | 227 | 9 |
| StableBeluga1 Delta | 2K / 130.4 GB | 749 | 58 |
| Airoboros 65B Gpt4 M2.0 | 2K / 130.4 GB | 687 | 0 |
| Airoboros 65B Gpt4 2.0 | 2K / 130.4 GB | 683 | 0 |
| Openbuddy Llama 65B V8 Bf16 | 2K / 130.6 GB | 712 | 9 |
| Llama 1 65B Hf | 2K / 130.4 GB | 6 | 1 |
| UltraLM 65B | 2K / 130.4 GB | 719 | 8 |
| Llama 65B Instruct | 2K / 130.4 GB | 687 | 12 |
| Airoboros 65B Gpt4 1.4 | 2K / 130.4 GB | 687 | 17 |
| Airoboros 65B Gpt4 1.3 | 2K / 130.4 GB | 690 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than OuteAI/Lite-Oute-1-65M .
Rank the Lite Oute 1 65M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803