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chore(model gallery): 🤖 add 1 new models via gallery agent (#10270)
chore(model gallery): 🤖 add new models via gallery agent Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
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gallery/index.yaml

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---
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- name: "qwopus3.6-27b-coder-mtp"
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:
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- https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF
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description: |
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🪐 Qwopus3.6-27B-v2
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SFT Release
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Reasoning-Enhanced Dense Language Model Fine-Tuned on Qwen3.6-27B
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🧬 Trace Inversion & Negentropy
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🧠 27B Parameters
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🔥 3-Stage Curriculum SFT
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🛠️ Vision & Tool-use Support
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💡 What is Qwopus3.6-27B-v2?
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🪐 Qwopus3.6-27B-v2 is a reasoning-enhanced dense language model built on top of Qwen3.6-27B. By leveraging a multi-stage curriculum learning pipeline and augmented with Trace Inversion datasets (claude-opus-4.6/4.7-traceInversion), it reverse-engineers the compressed "Reasoning Bubbles" of commercial LLMs into structured, step-by-step synthetic reasoning traces, successfully eliminating logical shortcuts and knowledge fractures.
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🧩 Structured Reasoning
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Injects reconstructed deep CoT chains to eliminate logical shortcuts via Trace Inversion.
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🪶 Style Consistency
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Enforces strict constraints on the format and convergence of &lt;think&gt; tags.
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🔁 Distillation Alignment
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Ensures high-quality cross-source SFT data alignment to narrow the capacity gap.
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⚡ RL Scalability
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Sets up a stable formatting pipeline optimized for downstream Reinforcement Learning (RL).
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## 💡 1. Base Model, Training Library & Cooperation
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...
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license: "apache-2.0"
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tags:
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- llm
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- gguf
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- vision
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- multimodal
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- reasoning
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overrides:
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backend: llama-cpp
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function:
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automatic_tool_parsing_fallback: true
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grammar:
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disable: true
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known_usecases:
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- chat
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mmproj: llama-cpp/mmproj/Qwopus3.6-27B-Coder-MTP-GGUF/mmproj-F32.gguf
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options:
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- use_jinja:true
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- spec_type:draft-mtp
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- spec_n_max:6
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- spec_p_min:0.75
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parameters:
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model: llama-cpp/models/Qwopus3.6-27B-Coder-MTP-GGUF/Qwopus3.6-27B-Coder-MTP-Q4_K_M.gguf
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template:
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use_tokenizer_template: true
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files:
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- filename: llama-cpp/models/Qwopus3.6-27B-Coder-MTP-GGUF/Qwopus3.6-27B-Coder-MTP-Q4_K_M.gguf
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sha256: b2898667ed7b2388f0ab7691393833ae777f247492bbe62fdb4b2bd3e3cf3f79
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uri: https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF/resolve/main/Qwopus3.6-27B-Coder-MTP-Q4_K_M.gguf
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- filename: llama-cpp/mmproj/Qwopus3.6-27B-Coder-MTP-GGUF/mmproj-F32.gguf
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sha256: 32f7ea0600c07272547da401d460f8abbd980f3a57b69d6df87be0e2505e0b9c
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uri: https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF/resolve/main/mmproj-F32.gguf
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- name: "gemma-4-26b-a4b-it-qat"
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:

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