This is the SakanaAI/TAID-LLM-1.5B model converted to MLC format with q4f32_1 quantization for in-browser inference via WebGPU using web-llm. Conversion scripts are here

Model Details

Base model: SakanaAI/TAID-LLM-1.5B
Architecture: Qwen2 (1.5B parameters)
Quantization: q4f32_1 (4-bit weights, float32 scales)
Quantized size: ~880 MB
Training method: TAID (Temporally Adaptive Interpolated Distillation) from Qwen2.5-32B-Instruct
Context window: 32,768 tokens
License: Apache 2.0

Usage with web-llm

javascript

import * as webllm from "@mlc-ai/web-llm";

const appConfig = {
  model_list: [{
    model: "https://huggingface.co/YOUR_USERNAME/TAID-LLM-1.5B-q4f32_1-MLC",
    model_id: "TAID-LLM-1.5B-q4f32_1-MLC",
    model_lib:
      webllm.modelLibURLPrefix +
      webllm.modelVersion +
      "/Qwen2-1.5B-Instruct-q4f32_1-ctx4k_cs1k-webgpu.wasm",
  }],
};

const engine = await webllm.CreateMLCEngine("TAID-LLM-1.5B-q4f32_1-MLC", { appConfig });

Disclaimer

This model is provided for research and development purposes only. It is an experimental prototype and is not intended for commercial use or deployment in mission-critical environments. See the original model card for full details.

moeadham/TAID-LLM-1.5B-q4f32_1-MLC

WARNING: This quantization is likely broken!

TAID-LLM-1.5B-q4f32_1-MLC

Model Details

Usage with web-llm

Disclaimer

moeadham/
TAID-LLM-1.5B-q4f32_1-MLC