Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b Dataset:ai-mo/numinamath-cot Dataset:ai-mo/numinamath-tir Dataset:allenai/tulu-3-sft-mix... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:huggingfacetb/smoltalk Dataset:m-a-p/code-feedback Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-agentin... Dataset:microsoft/orca-math-wo... Dataset:nousresearch/hermes-fu... Dataset:opencoder-llm/opc-sft-... Dataset:opencoder-llm/opc-sft-... En Qwen2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B
Dolphin3.0 Qwen2.5 0.5B 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)
Dolphin3.0 Qwen2.5 0.5B Parameters and Internals
| LLM Name | Dolphin3.0 Qwen2.5 0.5B |
| Repository 🤗 | https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B |
| Base Model(s) | |
| Model Size | 0.5b |
| Required VRAM | 1 GB |
| Updated | 2025-02-05 |
| Maintainer | cognitivecomputations |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Dolphin3.0 Qwen2.5 0.5B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reader Lm 0.5B | 250K / 1 GB | 423 | 135 |
| Qwen2 0.5B | 128K / 1 GB | 627450 | 127 |
| ...PRYMMAL 0.5B FT V4 MUSR Mathis | 128K / 1 GB | 62 | 1 |
| ...0.5B FT EnhancedMUSREnsembleV3 | 128K / 1 GB | 32 | 1 |
| ECE PRYMMAL 0.5B FT V3 MUSR | 128K / 2 GB | 139 | 0 |
| ....5B FT V4 MUSR ENSEMBLE Mathis | 128K / 2 GB | 30 | 1 |
| ...0.5B FT MUSR ENSEMBLE V2Mathis | 128K / 1 GB | 25 | 0 |
| ECE PRYMMAL 0.5B FT V4 MUSR | 128K / 2 GB | 137 | 0 |
| Qwen2 0.5B | 128K / 1 GB | 6320 | 2 |
| ECE PRYMMAL0.5B Youri | 128K / 1.3 GB | 1 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B .
Rank the Dolphin3.0 Qwen2.5 0.5B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227