srikanth235/centraid-native-gguf
text-generation model by srikanth235
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Model card & documentation
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A GGUF of a fine-tune of Qwen/Qwen3.5-0.8B (Apache-2.0) for the native tool task (#1044) of Centraid: a personal, local-first superapp whose assistant runs on the phone. The model drives a personal vault through eight tools (SPEC.md): each step it writes a short think in a fixed slot format, and the app's runtime reads the think and writes the call. This is not a general chat model. It was trained to continue the exact prompt the Centraid runtime renders (the tool list, the vault block, the history) and to write the think the runtime compiles; outside that runtime it has no use. It is published so the on-device model can be fetched, checked against its hash and reproduced. Scored on the native tool task's held-out validation set, val v7.4 of data-v7 (655 multi-turn sessions over seven synthetic households), through assist-step: the phone's own decode step and llama.cpp engine, on CPU, greedy.…
Read the full model card ↗ · Preview checked 2026-10-28T23:04:41.162Z
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Model overview
srikanth235/centraid-native-gguf is a text-generation model repository published by srikanth235 on Hugging Face. The source reports the gguf library.
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Model facts
- Task
- text-generation
- Library
- gguf
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-09T06:15:51.000Z
- Last modified
- 2026-10-09T06:15:59.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.5-0.8B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-09T06:40:49.674Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.