Model Card on HF 🤗: https://huggingface.co/SvalTek/Q2.5-ColdBrew-R1-ForgeWide-SAFE
Q2.5 ColdBrew R1 ForgeWide SAFE 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)
Q2.5 ColdBrew R1 ForgeWide SAFE Parameters and Internals
| LLM Name | Q2.5 ColdBrew R1 ForgeWide SAFE |
| Repository 🤗 | https://huggingface.co/SvalTek/Q2.5-ColdBrew-R1-ForgeWide-SAFE |
| Merged Model | Yes |
| Model Size | 9.5b |
| Required VRAM | 19 GB |
| Updated | 2025-08-22 |
| Maintainer | SvalTek |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.55.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 151666 |
| Torch Data Type | bfloat16 |
Rank the Q2.5 ColdBrew R1 ForgeWide SAFE Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124