SFT DART is an open-source language model by Cusul. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, LLM Explorer Score: 0.19.
Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sft Trl
Model Card on HF 🤗: https://huggingface.co/Cusul/SFT_DART
SFT DART 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)
SFT DART Parameters and Internals
| LLM Name | SFT DART |
| Repository 🤗 | https://huggingface.co/Cusul/SFT_DART |
| Model Name | SFT_DART |
| Base Model(s) | |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2025-09-18 |
| Maintainer | Cusul |
| Model Type | qwen3 |
| Model Files | |
| Model Architecture | Qwen3ForCausalLM |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to SFT DART
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 Reranker 0.6B | 40K / 1.2 GB | 1577919 | 346 |
| Qwen3 0.6B FP8 | 40K / 1.1 GB | 1715405 | 58 |
| GLM 5.1 Qwen3 0.6B CoNDeNse | 40K / 1.5 GB | 445 | 2 |
| Qwen3 0.6B | 40K / 1.2 GB | 259542 | 20 |
| Meet7.5 0.6b Writer Exp | 40K / 1.2 GB | 410 | 0 |
| RexReranker 0.6B | 40K / 1.2 GB | 3653 | 10 |
| Palindrome Sft Qwen3 | 40K / 2.4 GB | 141 | 0 |
| Foggen | 40K / 1.2 GB | 7 | 2 |
| Evolai Qwen047 V0 | 40K / 1.5 GB | 35 | 0 |
| Palindrome Sft V2 Qwen3 | 40K / 2.4 GB | 81 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Cusul/SFT_DART .
Rank the SFT DART Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a