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Umangs28/pocketai-jarvis-intent-1.7b
pocketai-jarvis-intent-1.7b is a machine learning model from Umangs28. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Base: unsloth/Qwen2.5-1.5B-Instruct (4-bit prepacked) — 1.5B params Training: SFT + LoRA via Unsloth, trainonresponsesonly masking Data: ~3000 utterance→JSON intent pairs (Hinglish + English mix) Quantization: Q4KM, ~…
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From the Hugging Face model README
Base: unsloth/Qwen2.5-1.5B-Instruct (4-bit prepacked) — 1.5B params
Training: SFT + LoRA via Unsloth, train_on_responses_only masking
Data: ~3000 utterance→JSON intent pairs (Hinglish + English mix)
Quantization: Q4_K_M, ~934 MiB on disk, 5.08 BPW
Format: GGUF, llama.cpp compatible
{"action": "OPEN_APP|CALL|MESSAGE|SET_ALARM|SET_TIMER|SEARCH_WEB|SEARCH_IN_APP|PLAY_MEDIA|TAKE_PHOTO|TOGGLE_FLASHLIGHT|SET_VOLUME|SET_BRIGHTNESS|SCROLL|GO_BACK|CLEAR_TEXT|TAP_ELEMENT|TYPE_TEXT|UNKNOWN",
"app": "string?",
"target": "string?",
"text": "string?",
"time": "string?",
"query": "string?"}
Use in PocketAI
Drop-in for Tier 2 of IntentPipeline (replaces the previously disabled LlmIntentParser).
System prompt expects model to output ONLY the JSON object — no markdown, no prose.