Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Conversational Dataset:agentlans/finewebedu-m... Educational-tool En Instruct Instruction-following Liger Llama-factory Lora Multiple-choice Question-generation Qwen2 Qwen2.5 Region:us Rslora Safetensors Sociology Xml-output
Model Card on HF 🤗: https://huggingface.co/agentlans/Qwen2.5-1.5B-Instruct-Multiple-Choice-Maker
Qwen2.5 1.5B Instruct Multiple Choice Maker 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)
Qwen2.5 1.5B Instruct Multiple Choice Maker Parameters and Internals
| LLM Name | Qwen2.5 1.5B Instruct Multiple Choice Maker |
| Repository 🤗 | https://huggingface.co/agentlans/Qwen2.5-1.5B-Instruct-Multiple-Choice-Maker |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2025-04-28 |
| Maintainer | agentlans |
| 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 | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 1.5B Instruct Multiple Choice Maker
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gte Qwen2 1.5B Instruct | 128K / 7.1 GB | 252440 | 207 |
| AceInstruct 1.5B | 128K / 3.5 GB | 123 | 20 |
| ... Abliterated TIES Qwen2.5 1.5B | 128K / 3.5 GB | 5 | 0 |
| Saba1 1.8B | 128K / 3.6 GB | 21 | 1 |
| Pictor 1338 QwenP 1.5B | 128K / 7.1 GB | 45 | 0 |
| Bellatrix 1.5B XElite | 128K / 3.5 GB | 17 | 3 |
| WiroAI Finance Qwen 1.5B | 128K / 3.5 GB | 415 | 18 |
| Deepthink 1.5B Open PRM | 128K / 7.1 GB | 13 | 0 |
| ...pmath Competitive 1.5B Preview | 128K / 7.1 GB | 10 | 0 |
| Miniclaus Qw1.5B UNAMGS | 128K / 3.5 GB | 17 | 8 |
Note: green Score (e.g. "73.2") means that the model is better than agentlans/Qwen2.5-1.5B-Instruct-Multiple-Choice-Maker .
Rank the Qwen2.5 1.5B Instruct Multiple Choice Maker Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227