Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Qwen3 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/coralieb7/qwen_mcqa_custom_sft_50k_sft_focus-NILS
Qwen Mcqa Custom Sft 50k Sft Focus NILS 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)
Qwen Mcqa Custom Sft 50K Sft Focus NILS Parameters and Internals
| LLM Name | Qwen Mcqa Custom Sft 50k Sft Focus NILS |
| Repository 🤗 | https://huggingface.co/coralieb7/qwen_mcqa_custom_sft_50k_sft_focus-NILS |
| Model Size | 596m |
| Required VRAM | 2.4 GB |
| Updated | 2025-06-19 |
| Maintainer | coralieb7 |
| Model Type | qwen3 |
| Model Files | |
| Model Architecture | Qwen3ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwen Mcqa Custom Sft 50K Sft Focus NILS
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Sam Reason A1 | 40K / 2.4 GB | 116 | 1 |
| SFT Nochat FULL DATA | 32K / 1.2 GB | 1489 | 0 |
| Sft Scp Epoch1 | 32K / 1.2 GB | 1482 | 0 |
| Full Dataset Instruction V4 | 32K / 1.2 GB | 229 | 0 |
| MNLP M3 Mcqa Model | 32K / 1.2 GB | 237 | 0 |
| CS552 M3 SFT Model | 32K / 1.2 GB | 262 | 0 |
| Fft Qwen | 32K / 0 GB | 220 | 0 |
| MNLP M3 DPO Model | 32K / 1.2 GB | 77 | 0 |
| MNLP M3 DPO Model Smoltalk All | 32K / 1.2 GB | 82 | 0 |
| Open Model | 32K / 1.2 GB | 105 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than coralieb7/qwen_mcqa_custom_sft_50k_sft_focus-NILS .
Rank the Qwen Mcqa Custom Sft 50K Sft Focus NILS Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124