Qwen3.8-9B-Distill
empero-ai · Kit
Reasons step by step through math, code and general questions, opening each answer with a thinking block. A 9B Qwen3.5 model trained on traces from a larger Qw…
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LFM2.5-350M-home-assistant-sft
OrdenWills · Kit
Turns plain home commands such as turn off the TV into structured tool calls, checking device states first. A 350M model for smart home builders and tinkerers.
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Qwen3.6-35B-A3B lododo-Distill-v1.0 (GGUF)
lododoai · Kit
Runs as a local text model, a Qwen3.6-35B-A3B fine-tune trained on data written by Qwen3.8-27B and packed as one GGUF file for llama.cpp. For people who run mo…
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Needle 2
Cactus-Compute · Kit
A 45M-parameter open model for tool calling, device use and structured extraction, packed into one 14 MB binary that runs in about 28 MB of RAM. For developers…
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Qwen3.8-35B-A3B-Distill
empero-ai · Kit
Reasons step by step before it answers, using a 35B mixture-of-experts model that activates about 3B parameters per token. Distilled from Qwen3.8 teacher trace…
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Needle 3
Cactus-Compute · Kit
A small on-device model from Cactus Compute for tool calling, structured extraction and text embeddings, used through the cactus Python package. For developers…
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BotPsy-0.8B
qvac · Kit
A small 0.8B model for function calling and agent workflows, built on Qwen3.5-0.8B and light enough to run on a device, for developers who want a local assista…
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BotPsy-0.8B-GGUFs
qvac · Kit
GGUF copies of the 0.8B BotPsy tool-calling model in BF16, Q8_0 and Q4_K_M, for running agent and function-calling work fully on your own device with llama.cpp.
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