Add Q4 and Q8 GGUF builds with their shared vision projector. The
model is a recent refusal-removed Ornith derivative for alignment and
red-team research.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Install 404s because the gallery still points at mmproj-...-f16.gguf.
HF only ships ...-F16.gguf now, with a different sha256.
Signed-off-by: lei_lei <96427312+leilei3167@users.noreply.github.com>
Add three llama.cpp-compatible mixed quantizations from ISTA DASLab. These builds give Qwen3.8-27B users an 8.4 to 10.1 GB weight tier with the shared vision projector.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add Q4_K_M and Q8_0 MTP variants with the shared vision projector.
The publisher recommends these builds for faster Qwen3.8 generation.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add the 3B, 8B, and 30B safetensors checkpoints as one vLLM variant family so LocalAI can select the largest build that fits. Configure the parsers and sampling defaults recommended for Granite reasoning and tool calls.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Tencent released three WeMM sizes with direct Sentence Transformers support. Add each safetensor repository so users can select the quality and resource tradeoff.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add the Q4 and Q8 GGUF builds with the shared vision projector.\nThe variant pair lets LocalAI select the build that fits available memory.\n\nAssisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add complete vLLM and SGLang entries with their exact tool parsers. Preserve an explicit zero temperature in both backend adapters.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* feat(gallery): add Ornith 1.5 397B variants
Add the official Q4_K_M and Q8_0 GGUF builds with their shared BF16 vision projector.
Assisted-by: Codex:gpt-5
* feat(gallery): resolve Ornith variant ordering\n\nKeep the 35B entries from master next to the 397B variants.\n\nAssisted-by: Codex:gpt-5
---------
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* feat(gallery): add Qwen3.8 OBLITERATED variants
Add Q4_K_M and Q8_0 llama.cpp builds with the shared BF16 vision projector.
Assisted-by: Codex:gpt-5
* fix(tests): implement node liveness stub
NodeCommandSender now requires PingNode. The endpoint test stub must
implement it before the package can compile.
Assisted-by: Codex:gpt-5 [Codex]
* fix(distributed): restore node liveness tests
The router now probes models.running before it schedules work. The E2E
workers only mocked backend.install, so every test node appeared offline.
The endpoint test double also missed the new PingNode method and stopped
the Linux, Apple, and lint jobs during compilation.
Mock the existing worker reply in both distributed fixtures and keep the
endpoint test double aligned with NodeCommandSender.
Assisted-by: Codex:gpt-5 [golangci-lint]
* fix(tests): check node liveness replies
The liveness test subscriptions ignored setup and reply errors.
Errcheck rejected each branch that carried them.
Assisted-by: Codex:gpt-5 [golangci-lint]
---------
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add the 2B and 4B distilled models alongside the 9B model. Their compact GGUF builds make the Qwen3.8 reasoning distill practical on smaller hosts.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
LiquidAI now publishes official DSpark draft sidecars for its 2.6B target. Pair Q4 and Q8 targets with matching draft choices so LocalAI can use speculative decoding across different memory budgets.
Assisted-by: Codex:gpt-5 [systematic-debugging]
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
The Qwopus variant pair was added twice, which makes the later pair unreachable and fails the gallery invariant on master.
Keep the first pair that LocalAI already resolves and remove the dead duplicate declarations.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
The gallery ranker reads serving features from tags instead of backend options. Mark two entries that enable draft MTP so ranking can identify them correctly.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Expose the upstream Q8_0 build and the MTP drafter for the existing Gemma 4 12B agentic entry. The variants let LocalAI select higher fidelity or faster speculative decoding from the same model family.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add the official Q4_K_M and Q8_0 GGUF builds with the shared BF16 vision projector.
Assisted-by: Codex:gpt-5 [Hugging Face API]
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add Tencent’s compact translation model in Q4 and Q8 GGUF formats. The linked variants let LocalAI select the best build that fits each host.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add Q4_K_M and Q8_0 GGUF builds for Tencent UI-Mate-9B. Include the f16 vision projector so llama.cpp can process desktop screenshots.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
The official GGUF repository publishes both Q4_K_M and Q8_0 builds, but the gallery only exposed Q4_K_M. Link the higher-quality Q8_0 build so capable hosts can select it automatically.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
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>
Add the smaller 3.69-bit mixed quantization to the existing Qwen3.8 27B variant group. Enable its embedded MTP head so compatible hosts can prefer speculative decoding.
Assisted-by: Codex:gpt-5 [Web]
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add Q4_K_M and Q8_0 llama.cpp builds with the shared vision projector. The MIT-licensed agentic coding model is absent from the current gallery.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Add Q4_K_M and Q8_0 llama.cpp builds for BAAI AREX-Turbo. The compact research agent is absent from the current gallery.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
