Modelpublic

Kanha-AI/kanha-liquid-lfm2.5-1.2b-instruct-sft-v1-MLC

sourceHugging Faceotherupdated 24d agoView on Hugging Face

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Model Card

Kanha Liquid LFM2.5 1.2B SFT, MLC WebGPU

Browser-ready MLC artifacts for Kanha's fine-tuned LiquidAI LFM2.5 1.2B model. The repository contains the complete q4f16_1 parameter cache, tokenizer, MLC chat configuration, and compiled WebGPU model library.

Immutable inputs

Input	Revision
Base model	`LiquidAI/LFM2.5-1.2B-Instruct@df58c174f05ff733f83f8cae10ea9298224c8006`
Kanha adapter	`Kanha-AI/kanha-liquid-lfm2.5-1.2b-instruct-sft-v1-adapter@50869bbad65a6b9222ccdbc2cfe332541fc178f6`
Merged weights SHA-256	`56d8e7e4ac156dba37cb74632a2d06e2119af1a9aae3c085a16a3dfd8b83dff7`

Runtime

—Quantization: q4f16_1
—Context window: 4,096 tokens
—Prefill chunk: 512 tokens
—State: hybrid attention KV cache and recurrent convolution state
—Model data: 663,326,625 bytes across 21 parameter shards
—WebGPU library: kanha-liquid-lfm2.5-1.2b-tuned-q4f16_1.wasm
—WebGPU library SHA-256: 9460955dcd10198c32b5d6946a68f59ada3443bc6400aa269bdd9ba7463f85c1
—Tested browser runtime: @mlc-ai/web-llm@0.2.84

The model files are intentionally stored at the repository root. Pin an immutable 40-character repository revision in both URLs:

const model = "https://huggingface.co/Kanha-AI/kanha-liquid-lfm2.5-1.2b-instruct-sft-v1-MLC/resolve/<revision>/";
const modelLib = "https://huggingface.co/Kanha-AI/kanha-liquid-lfm2.5-1.2b-instruct-sft-v1-MLC/resolve/<revision>/kanha-liquid-lfm2.5-1.2b-tuned-q4f16_1.wasm";

Verification

The collected artifact was hash-checked against the conversion record before upload. A macOS WebGPU smoke test loaded it through a Web Worker with a 4,096-token context and produced a grounded answer with citations. That single smoke test confirms browser execution, not general model quality or behavior on other devices. See qualification.json and conversion-records/ for the recorded evidence.

License

This derivative is distributed under the included LFM Open License v1.0. Review LICENSE before use, especially its commercial-use conditions and attribution requirements.