Tmax 2B is an open-source language model by allenai. Features: 2b LLM, VRAM: 3.8GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.
Arxiv:2606.23321 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-2b Dataset:allenai/tmax-15k-open-... Eval-results Instruct Qwen3 5 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/allenai/tmax-2b
Tmax 2B 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)
Tmax 2B Parameters and Internals
| LLM Name | Tmax 2B |
| Repository 🤗 | https://huggingface.co/allenai/tmax-2b |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 3.8 GB |
| Updated | 2026-06-28 |
| Maintainer | allenai |
| Model Type | qwen3_5 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen3_5ForConditionalGeneration |
| License | apache-2.0 |
| Model Max Length | 262144 |
| Transformers Version | 4.57.0.dev0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Errors | replace |
Rank the Tmax 2B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a