Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i... Conversational Dataset:amphora/qwq-longcot-13... Dataset:gghfez/qwq-longcot-130... Dataset:qingy2024/qwq-longcot-... En Endpoints compatible Instruct Qwen2 Qwq Reasoning Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/QWQ-500M
QWQ 500M 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)
QWQ 500M Parameters and Internals
| LLM Name | QWQ 500M |
| Repository 🤗 | https://huggingface.co/prithivMLmods/QWQ-500M |
| Base Model(s) | |
| Model Size | 0.5b |
| Required VRAM | 1 GB |
| Updated | 2025-01-17 |
| Maintainer | prithivMLmods |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| 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 | <|PAD_TOKEN|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to QWQ 500M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2 0.5B Abyme Merge3 | 128K / 1.3 GB | 12 | 0 |
| Qwen2 0.5B Abyme Merge2 | 128K / 0.3 GB | 8 | 0 |
| Qwen2.5 0.5B Instruct | 32K / 1 GB | 510177 | 184 |
| Lb Reranker 0.5B V1.0 | 32K / 1 GB | 380 | 45 |
| QwQ 0.5B Distilled SFT | 32K / 1 GB | 307 | 13 |
| Qwen2 0.5B Instruct | 32K / 1 GB | 136144 | 170 |
| Qwen2.5 Coder 0.5B Instruct | 32K / 1 GB | 18280 | 24 |
| Qwen2.5 0.5B Instruct ITA | 32K / 1 GB | 2673 | 2 |
| Qwen2.5 0.5B Instruct SFT | 32K / 1.3 GB | 131 | 1 |
| Qwen2.5 0.5B Instruct | 32K / 1 GB | 13775 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/QWQ-500M .
Rank the QWQ 500M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227