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feat(gallery): add Qwen3.8 small variants (#11571)
Add the 2B and 4B reasoning distillations in Q4_K_M and Q8_0 formats. These sizes extend the existing Qwen3.8 family to compact and edge hosts. Assisted-by: Codex:gpt-5 [web] Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
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@@ -399,6 +399,169 @@
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- filename: llama-cpp/models/qwen3.8-9b/Qwen3.8-9B-Q8_0.gguf
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uri: huggingface://empero-ai/Qwen3.8-9B-GGUF/Qwen3.8-9B-Q8_0.gguf
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sha256: 79ca5d342a07922f2bbf38c8d892a79a3c8620c65feaf4b1c66b7830ae724db8
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- &qwen3-8-4b
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name: "qwen3.8-4b-q4"
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variants:
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- model: qwen3.8-4b-q8
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:
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- https://huggingface.co/empero-ai/Qwen3.8-4B
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- https://huggingface.co/empero-ai/Qwen3.8-4B-GGUF
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description: |
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Qwen3.8-4B is Empero AI's full-parameter distillation of Qwen3.8 2.4T
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A95B into the Qwen3.5-4B architecture. It targets mathematics, reasoning,
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instruction following, and tool use with a native 262K-token context
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window. This default entry uses Q4_K_M weights; a higher-quality Q8_0
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build is available as a variant.
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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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- cpu
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- gpu
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- qwen
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- reasoning
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- thinking
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- tools
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- long-context
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icon: https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_qwen.jpg
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last_checked: "2026-08-18"
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overrides:
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backend: llama-cpp
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context_size: 262144
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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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options:
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- use_jinja:true
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parameters:
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min_p: 0
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model: llama-cpp/models/qwen3.8-4b/Qwen3.8-4B-Q4_K_M.gguf
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repeat_penalty: 1
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temperature: 0.6
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top_k: 20
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top_p: 0.95
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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/qwen3.8-4b/Qwen3.8-4B-Q4_K_M.gguf
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uri: huggingface://empero-ai/Qwen3.8-4B-GGUF/Qwen3.8-4B-Q4_K_M.gguf
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sha256: dec96e8cf2e11b613bb46513dec485377f9ca5a351e71712ee0e244f287c6790
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- !!merge <<: *qwen3-8-4b
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name: "qwen3.8-4b-q8"
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variants: []
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description: |
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Qwen3.8-4B in the higher-quality Q8_0 GGUF format. This variant preserves
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more model fidelity for hosts with enough memory.
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overrides:
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backend: llama-cpp
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context_size: 262144
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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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options:
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- use_jinja:true
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parameters:
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min_p: 0
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model: llama-cpp/models/qwen3.8-4b/Qwen3.8-4B-Q8_0.gguf
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repeat_penalty: 1
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temperature: 0.6
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top_k: 20
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top_p: 0.95
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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/qwen3.8-4b/Qwen3.8-4B-Q8_0.gguf
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uri: huggingface://empero-ai/Qwen3.8-4B-GGUF/Qwen3.8-4B-Q8_0.gguf
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sha256: 770b780d6754a4954d1caf395c9239eaeb394f15c7a7ea34039883377c93c9c3
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- &qwen3-8-2b
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name: "qwen3.8-2b-q4"
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variants:
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- model: qwen3.8-2b-q8
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:
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- https://huggingface.co/empero-ai/Qwen3.8-2B
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- https://huggingface.co/empero-ai/Qwen3.8-2B-GGUF
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description: |
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Qwen3.8-2B is Empero AI's smallest Qwen3.8 reasoning distillation. It uses
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the Qwen3.5-2B architecture and targets mathematics, instruction
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following, tool use, and edge deployment with a native 262K-token context
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window. This default entry uses Q4_K_M weights; a higher-quality Q8_0
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build is available as a variant.
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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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- cpu
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- gpu
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- edge
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- qwen
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- reasoning
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- thinking
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- tools
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- long-context
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icon: https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_qwen.jpg
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last_checked: "2026-08-18"
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overrides:
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backend: llama-cpp
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context_size: 262144
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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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options:
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- use_jinja:true
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parameters:
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min_p: 0
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model: llama-cpp/models/qwen3.8-2b/Qwen3.8-2B-Q4_K_M.gguf
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repeat_penalty: 1
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temperature: 0.6
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top_k: 20
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top_p: 0.95
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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/qwen3.8-2b/Qwen3.8-2B-Q4_K_M.gguf
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uri: huggingface://empero-ai/Qwen3.8-2B-GGUF/Qwen3.8-2B-Q4_K_M.gguf
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sha256: 4aa0fb13c431514262f259d420ecc95a8714df58ac2a2384514e20b93983f0ff
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- !!merge <<: *qwen3-8-2b
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name: "qwen3.8-2b-q8"
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variants: []
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description: |
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Qwen3.8-2B in the higher-quality Q8_0 GGUF format. This variant preserves
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more model fidelity while remaining suitable for compact hosts.
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overrides:
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backend: llama-cpp
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context_size: 262144
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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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options:
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- use_jinja:true
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parameters:
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min_p: 0
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model: llama-cpp/models/qwen3.8-2b/Qwen3.8-2B-Q8_0.gguf
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repeat_penalty: 1
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temperature: 0.6
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top_k: 20
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top_p: 0.95
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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/qwen3.8-2b/Qwen3.8-2B-Q8_0.gguf
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uri: huggingface://empero-ai/Qwen3.8-2B-GGUF/Qwen3.8-2B-Q8_0.gguf
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sha256: 866773b0d68f09a1db9733555e92daff85b617f9a2e601773dff494c5ca2bbf2
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- &twil-lm3
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name: "twil-lm3-q4"
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variants:
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