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Qwen2.5 ColdBrew by SvalTek

By SvalTek · 2 downloads
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Qwen2.5 ColdBrew is an open-source language model by SvalTek. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:finetune:theros/qwe... Base model:theros/qwen2.5-cybe...   Conversational Dataset:chaser-cz/sonnet35-cha... Dataset:nitral-ai/creative wri... Dataset:nitral-ai/thudm-long w...   En   Endpoints compatible   Pytorch   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/SvalTek/Qwen2.5-ColdBrew 

Qwen2.5 ColdBrew Parameters and Internals

LLM NameQwen2.5 ColdBrew
Repository 🤗https://huggingface.co/SvalTek/Qwen2.5-ColdBrew 
Base Model(s)  Theros/Qwen2.5-CyberMix-7B   Theros/Qwen2.5-CyberMix-7B
Model Size7b
Required VRAM15.2 GB
Updated2026-05-19
MaintainerSvalTek
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151666
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SvalTek/Qwen2.5-ColdBrew.