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CCORE's early preview fine-tune of Qwen3.5-4B for coding and Three.js scene generation. This text-only Q8_0 build pins a preview checkpoint and uses the embedded chat template. MTP is not enabled.
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TurinTech Artemis Q5_K_M quantization of Qwen3.5 0.8B for text chat, reasoning, and tool use. This text-only build omits the vision encoder and MTP layer. Uses the embedded chat template and an 8192-token context.
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TurinTech Artemis Q4_K_M quantization of Qwen3.5 0.8B for text chat, reasoning, and tool use. This text-only build omits the vision encoder and MTP layer. Uses the embedded chat template and an 8192-token context.
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TurinTech Artemis Q5_K_M quantization of Qwen3.5 2B for local tool calls, maths, and instruction following. Accepts image input through the bundled F16 vision projector. Uses the embedded chat template and an 8192-token context.
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TurinTech Artemis Q4_K_M quantization of Qwen3.5 2B for local tool calls, maths, and instruction following. Accepts image input through the bundled F16 vision projector. Uses the embedded chat template and an 8192-token context.
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TurinTech Artemis Q4_K_M quantization of Qwen3.5 4B for local chat and tool calls. Accepts image input through the bundled F16 vision projector. Uses the embedded chat template and an 8192-token context.
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TurinTech Artemis Q5_K_M quantization of Qwen3.5 4B for local chat and tool calls. Accepts image input through the bundled F16 vision projector. Uses the embedded chat template and an 8192-token context.
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TurinTech Artemis Q5_K_S quantization of Qwen3.5 4B for local chat and tool calls. Accepts image input through the bundled F16 vision projector. Uses the embedded chat template and an 8192-token context.
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TurinTech Artemis Q4_K_M quantization of Qwen3.5 9B for local chat and tool calls. Accepts image input through the bundled F16 vision projector. Uses the embedded chat template and an 8192-token context.
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TurinTech Artemis Q5_K_S quantization of Qwen3.5 9B for local chat and tool calls. Accepts image input through the bundled F16 vision projector. Uses the embedded chat template and an 8192-token context.
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TurinTech Artemis IQ4_XS quantization of Qwen3.5 9B for local chat and tool calls. Accepts image input through the bundled F16 vision projector. Uses the embedded chat template and an 8192-token context.
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A 9B Qwen3.5 fine-tune trained on Kimi K3 coding, debugging, and tool-use traces. This Q4_K_M GGUF build uses llama.cpp and the embedded chat template, with an F16 vision projector and a 32,768-token context.
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A 9B Qwen3.5 fine-tune trained on Kimi K3 coding, debugging, and tool-use traces. This Q8_0 GGUF build uses llama.cpp and the embedded chat template, with an F16 vision projector and a 32,768-token context.
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Repository: localaiLicense: apache-2.0

Qwen3.5 9B Defiant Fable is an Apache-2.0 multimodal fine-tune for reasoning, coding, creative writing, and roleplay. It retains the 256K context window and vision support of Qwen3.5 while reducing refusals. This default entry uses the NEO-imatrix Q4_K_M build with multi-token prediction enabled for faster generation.
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Qwen3.5 9B Defiant Fable in the plain NEO-imatrix Q4_K_M GGUF format. This fallback offers the same multimodal reasoning, coding, and creative capabilities without enabling multi-token prediction.
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Qwen3.5 9B Defiant Fable in Q8_0 GGUF format for multimodal reasoning, coding, and creative writing. Includes the matching BF16 vision projector. Enables multi-token prediction with the MTP weights.
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Qwen3.5 9B Defiant Fable in Q8_0 GGUF format for multimodal reasoning, coding, and creative writing. Includes the matching BF16 vision projector. Uses ordinary decoding without multi-token prediction.
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Repository: localaiLicense: apache-2.0

Qwen3.8 2B Distill is an Apache-2.0, text-only Qwen3.5 2B fine-tune distilled from Qwen3.8 2.4T A95B reasoning traces. It targets compact reasoning, coding, instruction following, and function calling with a 262K native context window. This entry uses the balanced Q4_K_M GGUF quantization; the Q8_0 variant offers higher fidelity.
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Qwen3.8 2B Distill in the higher-fidelity Q8_0 GGUF format. This text-only Qwen3.5 2B fine-tune targets reasoning, coding, instruction following, and function calling with a 262K native context window.
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Repository: localaiLicense: apache-2.0

Qwen3.8 4B Distill is an Apache-2.0, text-only Qwen3.5 4B fine-tune distilled from Qwen3.8 2.4T A95B reasoning traces. It targets reasoning, coding, instruction following, and function calling with a 262K native context window. This entry uses the balanced Q4_K_M GGUF quantization; the Q8_0 variant offers higher fidelity.
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Qwen3.8 4B Distill in the higher-fidelity Q8_0 GGUF format. This text-only Qwen3.5 4B fine-tune targets reasoning, coding, instruction following, and function calling with a 262K native context window.
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