Model Card on HF 🤗: https://huggingface.co/TinyPixel/m7
M7 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)
M7 Parameters and Internals
| LLM Name | M7 |
| Repository 🤗 | https://huggingface.co/TinyPixel/m7 |
| Model Size | 7b |
| Required VRAM | 14.1 GB |
| Updated | 2025-08-18 |
| Maintainer | TinyPixel |
| Model Type | deci |
| Model Files | |
| Model Architecture | DeciLMForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to M7
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| DeciLM 7B Instruct 128K | 128K / 14.1 GB | 6 | 3 |
| DeciLM 7B Instruct 32K | 32K / 14.1 GB | 8 | 3 |
| DeciLM 7B | 8K / 14.1 GB | 5767 | 225 |
| DeciLM 7B Instruct | 8K / 14.1 GB | 2805 | 95 |
| DeciLM Base ChatTuned Blogv0.2 | 8K / 14.1 GB | 6 | 1 |
| M12 | 8K / 14.1 GB | 7 | 0 |
| M11 | 8K / 14.1 GB | 5 | 0 |
| M10 | 8K / 14.1 GB | 7 | 0 |
| M9 | 8K / 14.1 GB | 7 | 0 |
| M8 | 8K / 14.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TinyPixel/m7 .
Rank the M7 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124