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>
This commit is contained in:
LocalAI [bot]
2026-06-12 16:21:35 +02:00
committed by GitHub
parent 085fc53bbc
commit 4ce0f6102a

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@@ -1,4 +1,69 @@
---
- name: "qwopus3.6-27b-coder-mtp"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
- https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF
description: |
🪐 Qwopus3.6-27B-v2
SFT Release
Reasoning-Enhanced Dense Language Model Fine-Tuned on Qwen3.6-27B
🧬 Trace Inversion & Negentropy
🧠 27B Parameters
🔥 3-Stage Curriculum SFT
🛠️ Vision & Tool-use Support
💡 What is Qwopus3.6-27B-v2?
🪐 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.
🧩 Structured Reasoning
Injects reconstructed deep CoT chains to eliminate logical shortcuts via Trace Inversion.
🪶 Style Consistency
Enforces strict constraints on the format and convergence of &lt;think&gt; tags.
🔁 Distillation Alignment
Ensures high-quality cross-source SFT data alignment to narrow the capacity gap.
⚡ RL Scalability
Sets up a stable formatting pipeline optimized for downstream Reinforcement Learning (RL).
## 💡 1. Base Model, Training Library & Cooperation
...
license: "apache-2.0"
tags:
- llm
- gguf
- vision
- multimodal
- reasoning
overrides:
backend: llama-cpp
function:
automatic_tool_parsing_fallback: true
grammar:
disable: true
known_usecases:
- chat
mmproj: llama-cpp/mmproj/Qwopus3.6-27B-Coder-MTP-GGUF/mmproj-F32.gguf
options:
- use_jinja:true
- spec_type:draft-mtp
- spec_n_max:6
- spec_p_min:0.75
parameters:
model: llama-cpp/models/Qwopus3.6-27B-Coder-MTP-GGUF/Qwopus3.6-27B-Coder-MTP-Q4_K_M.gguf
template:
use_tokenizer_template: true
files:
- filename: llama-cpp/models/Qwopus3.6-27B-Coder-MTP-GGUF/Qwopus3.6-27B-Coder-MTP-Q4_K_M.gguf
sha256: b2898667ed7b2388f0ab7691393833ae777f247492bbe62fdb4b2bd3e3cf3f79
uri: https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF/resolve/main/Qwopus3.6-27B-Coder-MTP-Q4_K_M.gguf
- filename: llama-cpp/mmproj/Qwopus3.6-27B-Coder-MTP-GGUF/mmproj-F32.gguf
sha256: 32f7ea0600c07272547da401d460f8abbd980f3a57b69d6df87be0e2505e0b9c
uri: https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder-MTP-GGUF/resolve/main/mmproj-F32.gguf
- name: "gemma-4-26b-a4b-it-qat"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls: