Liontix
Qwen3-8B-Claude-Sonnet-4-Reasoning-Distill-GGUF
This model was trained on a Claude Sonnet 4 (non-reasoning) dataset and a Claude Sonnet 3.7 (reasoning) dataset. It is a reasoning model.
Qwen3-8B-Gemini-2.5-Pro-Distill
Qwen3-8B-Gemini-2.5-Pro-Distill-GGUF
A newer version distilled on Gemini 3 Pro Preview is available here: TeichAI/Qwen3-8B-Gemini-3-Pro-Preview-Distill-GGUF This model was trained on a Gemini 2.5 Flash (non-reasoning) dataset and a Gemini 2.5 Pro (reasoning) dataset. It is a reasoning model.
ERNIE-4.5-21B-A3B-Thinking-Gemini-2.5-Pro-Distill-GGUF
Disclaimer: This model is for testing purposes only. Raw inference with llama.cpp works but using it with ollama currently doesn't. This model was trained on a Gemini 2.5 Pro (reasoning) dataset. It is a reasoning model. It has 21 billion parameters in total and 3 billion activated parameters.
Qwen3-8B-Sonnet-4-GPT-5-Distill-GGUF
This is a non-reasoning model finetuned on Claude Sonnet 4 and GPT 5 Chat.
Qwen3-4B-Thinking-2507-Gemini-2.5-Pro-Distill-GGUF
This model was trained on a Gemini 2.5 Pro (reasoning) dataset. It is a reasoning model. Since the base model for this fine-tune is the Qwen3-4B-Thinking-2507 variant, you will experience longer phases of thinking. You might only want to use this model for more complex conversations or tasks like coding, math, or logical questions. You can request distilled models or datasets in the community tab.
Qwen3-8B-GPT-5-Reasoning-Distill-GGUF
This model was trained on a GPT 5 (reasoning) dataset. It is reasoning model.
Qwen3-8B-Deepseek-V3.1-Distill-GGUF
Qwen3-4B-Thinking-2507-GLM-4.6-Distill-GGUF
Qwen3-4B-Claude-Sonnet-4-Reasoning-Distill-GGUF
This model was trained on a Claude Sonnet 4 (non-reasoning) dataset and a Claude Sonnet 3.7 (reasoning) dataset. It is a reasoning model.
Qwen3-8B-Claude-Sonnet-4-Reasoning-Distill-Safetensor
Qwen3 4B Claude Sonnet 4 Reasoning Distill Safetensor
This model was trained on a Claude Sonnet 4 (non-reasoning) dataset and a Claude Sonnet 3.7 (reasoning) dataset. - 🧬 Datasets: - `Liontix/claude-sonnet-4-100x` - `reedmayhew/claude-3.7-sonnet-reasoning` - 🏗 Base Model: - `unsloth/Qwen3-4B-unsloth-bnb-4bit` If you want to fine-tune this model: - Start from: `Liontix/Qwen3-4B-Claude-Sonnet-4-Reasoning-Distill-Safetensor` - Change dataset as needed in your training script or notebook Prompt format uses Claude-style ` ` / ` ` markers with role tags.
Qwen3-1.7B-GPT5-nano-distill
Qwen3-4B-Sonnet-4-GPT-5-Distill-GGUF
Qwen3-4B-GPT-5-mini-Distill-GGUF
This model was trained on a GPT-5 mini reasoning and a GPT-5 non-reasoning dataset.
Qwen3-4B-Advanced-Reasoning-Distill-GGUF
Qwen3-4B-Thinking-2507-Gemini-2.5-Pro-Distill
This model was trained on a Gemini 2.5 Pro (reasoning) dataset. It is a reasoning model. Since the base model for this fine-tune is the Qwen3-4B-Thinking-2507 variant, you will experience longer phases of thinking. You might only want to use this model for more complex conversations or tasks like coding, math, or logical questions. If you want a GGUF version and not the safetensor files then head over here