Atomic Chat GGUF builds of Tencent Hy3 (295B MoE): coding-optimized imatrix quants
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poolside Laguna XS 2.1 (33B/3B MoE) quantized by Atomic Chat - GGUF (llama.cpp) and MLX (Apple Silicon) ladders.
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AtomicChat/Laguna-XS-2.1-GGUF
Text Generation • 33B • Updated • 8.41k • 11 -
AtomicChat/Laguna-XS-2.1-MLX-8bit
Text Generation • 9B • Updated • 1.81k • 2 -
AtomicChat/Laguna-XS-2.1-MLX-6bit
Text Generation • 7B • Updated • 1.13k • 2 -
AtomicChat/Laguna-XS-2.1-MLX-5bit
Text Generation • 6B • Updated • 1.25k • 2
Qwen2.5 instruct models, self-quantized to GGUF by Atomic Chat with a per-tensor importance matrix.
Atomic Chat self-quantized GGUFs of Liquid AI's LFM2.5 models, built from the original weights with an importance matrix.
Atomic Chat self-quantized GGUFs of Qwen3.5, built from the original weights with an importance matrix.
Atomic Chat GGUF builds of Google Gemma 4
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AtomicChat/gemma-4-12b-it-GGUF
Image-Text-to-Text • 12B • Updated • 2.66k • 3 -
AtomicChat/gemma-4-31B-it-GGUF
Image-Text-to-Text • Updated • 1.75k • 1 -
AtomicChat/gemma-4-E4B-it-GGUF
Image-Text-to-Text • 8B • Updated • 5.56k • 1 -
AtomicChat/gemma-4-26B-A4B-it-GGUF
Image-Text-to-Text • 25B • Updated • 905
Gemma 4 MTP assistant drafters as GGUF (F16/Q8_0/Q5_K_M/Q4_K_M/Q4_K_S). Speculative-decoding heads for the atomic-llama-cpp-turboquant fork.
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AtomicChat/gemma-4-E2B-it-assistant-GGUF
Text Generation • 78M • Updated • 1.37k • 7 -
AtomicChat/gemma-4-E4B-it-assistant-GGUF
Text Generation • 78.8M • Updated • 2.65k • 21 -
AtomicChat/gemma-4-26B-A4B-it-assistant-GGUF
Text Generation • 0.4B • Updated • 4.11k • 27 -
AtomicChat/gemma-4-31B-it-assistant-GGUF
Text Generation • 0.5B • Updated • 1.86k • 16
DFlash block-diffusion draft heads (GGUF). Attach to any target GGUF to speed up llama.cpp.
Microsoft Phi-4 models, self-quantized to GGUF by Atomic Chat with a per-tensor importance matrix.
DeepReinforce's Ornith 1.0 agentic-coding models, self-quantized to GGUF by Atomic Chat with a per-tensor importance matrix. Runs fully offline.
Atomic Chat self-quantized GGUFs of the Qwen3 Coder models, built from the original weights with an importance matrix.
Atomic Chat self-quantized GGUFs of Qwen3.6, built from the original weights with an importance matrix.
Dynamic-imatrix GGUF quants of Qwen 3.6 27B & 35B-A3B. TurboQuant3 KV + shared-model NextN ready.
Atomic Chat GGUF builds of Tencent Hy3 (295B MoE): coding-optimized imatrix quants
DFlash block-diffusion draft heads (GGUF). Attach to any target GGUF to speed up llama.cpp.
poolside Laguna XS 2.1 (33B/3B MoE) quantized by Atomic Chat - GGUF (llama.cpp) and MLX (Apple Silicon) ladders.
-
AtomicChat/Laguna-XS-2.1-GGUF
Text Generation • 33B • Updated • 8.41k • 11 -
AtomicChat/Laguna-XS-2.1-MLX-8bit
Text Generation • 9B • Updated • 1.81k • 2 -
AtomicChat/Laguna-XS-2.1-MLX-6bit
Text Generation • 7B • Updated • 1.13k • 2 -
AtomicChat/Laguna-XS-2.1-MLX-5bit
Text Generation • 6B • Updated • 1.25k • 2
Microsoft Phi-4 models, self-quantized to GGUF by Atomic Chat with a per-tensor importance matrix.
Qwen2.5 instruct models, self-quantized to GGUF by Atomic Chat with a per-tensor importance matrix.
DeepReinforce's Ornith 1.0 agentic-coding models, self-quantized to GGUF by Atomic Chat with a per-tensor importance matrix. Runs fully offline.
Atomic Chat self-quantized GGUFs of Liquid AI's LFM2.5 models, built from the original weights with an importance matrix.
Atomic Chat self-quantized GGUFs of the Qwen3 Coder models, built from the original weights with an importance matrix.
Atomic Chat self-quantized GGUFs of Qwen3.5, built from the original weights with an importance matrix.
Atomic Chat self-quantized GGUFs of Qwen3.6, built from the original weights with an importance matrix.
Atomic Chat GGUF builds of Google Gemma 4
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AtomicChat/gemma-4-12b-it-GGUF
Image-Text-to-Text • 12B • Updated • 2.66k • 3 -
AtomicChat/gemma-4-31B-it-GGUF
Image-Text-to-Text • Updated • 1.75k • 1 -
AtomicChat/gemma-4-E4B-it-GGUF
Image-Text-to-Text • 8B • Updated • 5.56k • 1 -
AtomicChat/gemma-4-26B-A4B-it-GGUF
Image-Text-to-Text • 25B • Updated • 905
Dynamic-imatrix GGUF quants of Qwen 3.6 27B & 35B-A3B. TurboQuant3 KV + shared-model NextN ready.
Gemma 4 MTP assistant drafters as GGUF (F16/Q8_0/Q5_K_M/Q4_K_M/Q4_K_S). Speculative-decoding heads for the atomic-llama-cpp-turboquant fork.
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AtomicChat/gemma-4-E2B-it-assistant-GGUF
Text Generation • 78M • Updated • 1.37k • 7 -
AtomicChat/gemma-4-E4B-it-assistant-GGUF
Text Generation • 78.8M • Updated • 2.65k • 21 -
AtomicChat/gemma-4-26B-A4B-it-assistant-GGUF
Text Generation • 0.4B • Updated • 4.11k • 27 -
AtomicChat/gemma-4-31B-it-assistant-GGUF
Text Generation • 0.5B • Updated • 1.86k • 16