Bespoke MiniChart 7B is an open-source language model by bespokelabs. Features: 7b LLM, VRAM: 16.6GB, Context: 125K, LLM Explorer Score: 0.21.
Model Card on HF 🤗: https://huggingface.co/bespokelabs/Bespoke-MiniChart-7B
Bespoke MiniChart 7B 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)
Bespoke MiniChart 7B Parameters and Internals
| LLM Name | Bespoke MiniChart 7B |
| Repository 🤗 | https://huggingface.co/bespokelabs/Bespoke-MiniChart-7B |
| Model Size | 7b |
| Required VRAM | 16.6 GB |
| Updated | 2025-09-23 |
| Maintainer | bespokelabs |
| Model Type | qwen2_5_vl |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2_5_VLForConditionalGeneration |
| Context Length | 128000 |
| Model Max Length | 128000 |
| Transformers Version | 4.49.0.dev0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151665 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Bespoke MiniChart 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OmniLong Qwen2.5 VL 7B | 512K / 16.6 GB | 28 | 2 |
| Qwen2.5 VL 7B Instruct FP4 | 125K / 7.2 GB | 49165 | 3 |
| Qwen2.5 VL 7B Instruct NVFP4 | 125K / 7.2 GB | 5600 | 14 |
| Qwen2.5 VL 7B Instruct FP8 | 125K / 10 GB | 332 | 7 |
| HuatuoGPT Vision 7B Qwen2.5VL | 125K / 16.6 GB | 1629 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than bespokelabs/Bespoke-MiniChart-7B .
Rank the Bespoke MiniChart 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a