Arxiv:2406.08464 Arxiv:2407.10671 Ara Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i... Conversational Dataset:magpie-align/magpie-pr... Deu Endpoints compatible Eng Fra Generated from trainer Instruct Ita Jpn Kor Por Qwen2 Region:us Rus Safetensors Sharded Spa Tensorflow Tha Vie Zho
Model Card on HF 🤗: https://huggingface.co/fblgit/miniclaus-qw1.5B-UNAMGS
Miniclaus Qw1.5B UNAMGS Benchmarks
MMLU Pro: 21.52
GPQA: 5.59
MUSR: 12.23
BBH: 18.56
IFEval: 33.48 vs 88 (so35)-62%
MATH Lvl 5: 10.88
LLME Score: 0.23268
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)
Miniclaus Qw1.5B UNAMGS Parameters and Internals
| LLM Name | Miniclaus Qw1.5B UNAMGS |
| Repository 🤗 | https://huggingface.co/fblgit/miniclaus-qw1.5B-UNAMGS |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.5 GB |
| Updated | 2025-09-23 |
| Maintainer | fblgit |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Miniclaus Qw1.5B UNAMGS
Best Alternatives |
Context / RAM |
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Likes |
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| AceInstruct 1.5B | 128K / 3.5 GB | 76880 | 20 |
| Gte Qwen2 1.5B Instruct | 128K / 7.1 GB | 114981 | 223 |
| ... Abliterated TIES Qwen2.5 1.5B | 128K / 3.5 GB | 6 | 0 |
| Saba1 1.8B | 128K / 3.6 GB | 5 | 1 |
| Bellatrix 1.5B XElite | 128K / 3.5 GB | 3 | 3 |
| WiroAI Finance Qwen 1.5B | 128K / 3.5 GB | 1119 | 20 |
| GCIRS Reasoning 1.5B R1 | 128K / 3.5 GB | 6 | 1 |
| ...illed Scout 1.5B Instruct Gen1 | 128K / 3.5 GB | 15 | 0 |
| ...pmath Competitive 1.5B Preview | 128K / 7.1 GB | 7 | 0 |
| Deepthink 1.5B Open PRM | 128K / 7.1 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than fblgit/miniclaus-qw1.5B-UNAMGS .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124