QWEN3 4B CPT Stage2 is an open-source language model by alwaysgood. Features: 4b LLM, VRAM: 8GB, Context: 32K, LLM Explorer Score: 0.29.
Base model:alwaysgood/qwen3-4b... Base model:finetune:alwaysgood... Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/alwaysgood/QWEN3-4B-CPT-stage2
QWEN3 4B CPT Stage2 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)
QWEN3 4B CPT Stage2 Parameters and Internals
| LLM Name | QWEN3 4B CPT Stage2 |
| Repository 🤗 | https://huggingface.co/alwaysgood/QWEN3-4B-CPT-stage2 |
| Model Name | alwaysgood/QWEN3-4B-CPT |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 8 GB |
| Updated | 2026-04-18 |
| Maintainer | alwaysgood |
| Model Type | qwen3 |
| Model Files | |
| Model Architecture | Qwen3ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 5.5.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 151936 |
| Errors | replace |
Best Alternatives to QWEN3 4B CPT Stage2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 4B Thinking 2507 | 256K / 8.1 GB | 1676918 | 575 |
| GRPO 4 70 | 256K / 8.1 GB | 20 | 0 |
| Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 1473674 | 320 |
| QED Nano | 256K / 8.1 GB | 6816 | 86 |
| Lightning 4B | 256K / 8.1 GB | 13 | 6 |
| Jan V1 4B | 256K / 8.1 GB | 108354 | 353 |
| Qwen3 4B Instruct 2507 FP8 | 256K / 5.2 GB | 715358 | 73 |
| Jan Code 4B | 256K / 8.9 GB | 489 | 75 |
| AgentCPM Explore | 256K / 8.9 GB | 129 | 328 |
| ...en3.6 Plus Reasoning Distilled | 256K / 8.1 GB | 1087 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than alwaysgood/QWEN3-4B-CPT-stage2 .
Rank the QWEN3 4B CPT Stage2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a