1Kdl/month
2likes
Identifier
Model ID
Tesleum/shirdel-coder-9b-claude-fable-5Tags
ggufnemotronllama.cppAnthropic Claude Fable 5Evol-Instruct-Code-80k-v1vision-language-modelreinforcement-learningdataset:nickrosh/Evol-Instruct-Code-80k-v1dataset:Qwen/DeepPlanningbase_model:nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4base_model:quantized:nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4doi:10.57967/hf/9346license:ecl-2.0endpoints_compatibleregion:usconversational
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Open StudioHow It Runs on Mixpeek
On Mixpeek, shirdel-coder-9b-claude-fable-5 runs as a managed extractor inside a processing pipeline. Point a bucket of reinforcement learning data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.
Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.
Specification
OrganizationTesleum
TaskReinforcement Learning
Licenseecl-2.0
Downloads/mo1K
Likes2
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