kdonut/btsnoop-hci-qwen2.5-0.5b-lora

text-generation model by kdonut

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A LoRA adapter for Qwen/Qwen2.5-0.5B-Instruct that explains Bluetooth HCI captures in plain English. It is the model behind the --ai option of btsnoop-parser, a Python tool for Android snoop logs and Linux btmon captures. Given a summary of a capture, it answers: did anything actually fail, what, when, and what is the likely cause? When several things went wrong it leads with the problem that stops the device working and lists the rest. It also answers follow-up questions about the same capture: "why did it fail?", "why did the call audio move to the phone?", "why did the first pairing fail?", and says plainly when something isn't in the capture. It is small enough to run on a laptop with no GPU and no network. The model does not read raw packets. btsnoop-parser decodes the capture into a text summary, and the model answers from that summary: code involved; set-up,…

kdonut/btsnoop-hci-qwen2.5-0.5b-lora on Hugging Face A short preview, not the full document.

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  1. btsnoop-hci-qwen2.5-0.5b-lora
  2. What it reads
  3. Usage
  4. Training data
  5. Training
  6. Evaluation
  7. Limitations
  8. License

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Model overview

kdonut/btsnoop-hci-qwen2.5-0.5b-lora is a text-generation model repository published by kdonut on Hugging Face. The source reports the peft library.

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Model facts

Task
text-generation
Library
peft
Recent downloads (30 days)
0
Cumulative likes
1
Hugging Face trending score
1
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-13T06:23:36.000Z
Last modified
2026-10-13T06:23:43.000Z

Compatibility and lineage

Reported languages: en

Reported base models: Qwen/Qwen2.5-0.5B-Instruct

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.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-13T06:41:58.956Z. Daily imports are snapshots, not real-time monitoring.

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