Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Catalsyt-Corporation/Cristal-o1-1.5B
Cristal O1 1.5B 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)
Cristal O1 1.5B Parameters and Internals
| LLM Name | Cristal O1 1.5B |
| Repository 🤗 | https://huggingface.co/Catalsyt-Corporation/Cristal-o1-1.5B |
| Model Name | Cistral |
| Model Size | 1.5b |
| Required VRAM | 6.2 GB |
| Updated | 2025-02-23 |
| Maintainer | Catalsyt-Corporation |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.47.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Cristal O1 1.5B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| AceInstruct 1.5B | 128K / 3.5 GB | 574 | 17 |
| Gte Qwen2 1.5B Instruct | 128K / 7.1 GB | 465248 | 171 |
| Bellatrix 1.5B XElite | 128K / 3.5 GB | 289 | 9 |
| ... Abliterated TIES Qwen2.5 1.5B | 128K / 3.5 GB | 70 | 0 |
| Saba1 1.8B | 128K / 3.6 GB | 66 | 1 |
| Miniclaus Qw1.5B UNAMGS | 128K / 3.5 GB | 184 | 8 |
| EVA Qwen2.5 1.5B V0.0 | 128K / 3.1 GB | 406 | 3 |
| Replete Coder Qwen2 1.5B | 128K / 3.1 GB | 233 | 23 |
| Qwen2 1.5B Instruct Refine | 128K / 3.1 GB | 141 | 0 |
| Samantha Qwen2 1.5B | 128K / 3.1 GB | 146 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Catalsyt-Corporation/Cristal-o1-1.5B .
Rank the Cristal O1 1.5B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227