Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b 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-Qwen2.5-1.5B
Dolphin3.0 Qwen2.5 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)
Dolphin3.0 Qwen2.5 1.5B Parameters and Internals
| LLM Name | Dolphin3.0 Qwen2.5 1.5B |
| Repository 🤗 | https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2025-02-05 |
| Maintainer | cognitivecomputations |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| 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 1.5B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ReaderLM V2 | 500K / 3.5 GB | 23287 | 473 |
| Reader Lm 1.5B | 250K / 3.1 GB | 8819 | 584 |
| DeepSeek R1 Distill Qwen 1.5B | 128K / 3.5 GB | 386547 | 659 |
| ...Seek R1 Distill Qwen 1.5B ONNX | 128K / GB | 39223 | 37 |
| Qwen2.5 1.5B | 128K / 3.1 GB | 370941 | 61 |
| ...ek R1 ReDistill Qwen 1.5B V1.0 | 128K / 3.6 GB | 307 | 42 |
| Stella En 1.5B V5 | 128K / 6.2 GB | 581890 | 211 |
| DeepSeek R1 Distill Qwen 1.5B | 128K / 3.5 GB | 4858 | 6 |
| AceInstruct 1.5B | 128K / 3.5 GB | 374 | 10 |
| Bellatrix 1.5B XElite | 128K / 3.5 GB | 221 | 8 |
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B .
Rank the Dolphin3.0 Qwen2.5 1.5B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227