Lite Oute 1 300M 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 300M Parameters and Internals
| LLM Name | Lite Oute 1 300M |
| Repository 🤗 | https://huggingface.co/OuteAI/Lite-Oute-1-300M |
| Model Size | 300m |
| Required VRAM | 1.2 GB |
| Updated | 2024-10-30 |
| Maintainer | OuteAI |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.42.4 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32768 |
| Torch Data Type | float32 |
Best Alternatives to Lite Oute 1 300M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Lite Oute 1 300M Instruct | 4K / 1.2 GB | 438 | 8 |
| Mistral 300M | 4K / 0 GB | 14 | 2 |
| ...anese Mistral 300M Instruction | 4K / 1.4 GB | 18 | 3 |
| Japanese Mistral 300M Base | 4K / 2.8 GB | 692 | 3 |
Rank the Lite Oute 1 300M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803