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Model: zhangsq-nju/Qwen3-1.7B-EdgeRazor-GGUF
Source: Original Platform

.gitattributes

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Qwen3-1.7B-BF16.gguf

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Qwen3-1.7B-EdgeRazor-Q4_0.gguf

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Qwen3-1.7B-EdgeRazor-TQ1_0.gguf

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README.md

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+---
+base_model: Qwen/Qwen3-1.7B
+pipeline_tag: text-generation
+tags:
+- qwen3
+- edgerazor
+- quantization
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-1.7B/blob/main/LICENSE
+---
+
+<div align="center">
+  <br/>
+  <img src="./asset/Logo-HF.png" alt="EdgeRazor Logo" width="60%">
+  <h3>
+    EdgeRazor for Lightweight LLMs
+  </h3>
+
+  <p>
+    <a href="https://arxiv.org/abs/2605.04062" target="blank">
+      <img src="https://img.shields.io/badge/arXiv-EdgeRazor-b31b1b?style=flat&logo=arxiv" alt="arXiv EdgeRazor">
+    </a>
+    <a href="https://github.com/zhangsq-nju/EdgeRazor" target="blank">
+      <img src="https://img.shields.io/badge/GitHub-EdgeRazor-blue?style=flat&logo=github" alt="GitHub EdgeRazor">
+    </a>
+    <a href="https://pypi.org/project/edgerazor/" target="blank">
+      <img src="https://img.shields.io/pypi/v/edgerazor?style=flat&logo=pypi" alt="PyPI EdgeRazor">
+    </a>
+  </p>
+
+
+</div>
+
+## Contents
+
+- [Contents](#contents)
+- [Model Overview](#model-overview)
+- [Model Bit-Widths](#model-bit-widths)
+- [Get Started](#get-started)
+- [Citation](#citation)
+
+## Model Overview
+
+- Base Model: [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B)
+- Training: [zhangsq-nju/EdgeRazor](https://github.com/zhangsq-nju/EdgeRazor)
+- Inference: [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp)
+
+## Model Bit-Widths
+
+| Mixed-Precision Recipe       | Bit-Width | This Repo | GGUF Type     |
+| ---------------------------- | --------- | --------- | ------------- |
+| 100% 4-bit + 0% 1.58-bit     | 4         | ✔️         | Q4_0          |
+| 50% 4-bit + 50% 1.58-bit     | 2.79      | ✖️         | Not supported |
+| 12.5% 4-bit + 87.5% 1.58-bit | 1.88      | ✖️         | Not supported |
+| 0% 4-bit + 100% 1.58-bit     | 1.58      | ✔️         | TQ1_0, TQ2_0  |
+
+## Get Started
+
+Use llama.cpp to conduct efficient inference on edge devices.
+
+Check the [cli.sh](./cli.sh) script for basic usage.
+
+Model list:
+
+- `Qwen3-1.7B-BF16.gguf`: BF16 model from the original Qwen3-1.7B
+- `Qwen3-1.7B-EdgeRazor-Q4_0.gguf`: Q4_0 model from the [Qwen3-1.7B-EdgeRazor-4bit](https://huggingface.co/zhangsq-nju/Qwen3-1.7B-EdgeRazor-4bit)
+- `Qwen3-1.7B-EdgeRazor-TQ1_0.gguf`: TQ1_0 model from [Qwen3-1.7B-EdgeRazor-1.58bit](https://huggingface.co/zhangsq-nju/Qwen3-1.7B-EdgeRazor-1.58bit)
+- `Qwen3-1.7B-EdgeRazor-TQ2_0.gguf`: TQ2_0 model from [Qwen3-1.7B-EdgeRazor-1.58bit](https://huggingface.co/zhangsq-nju/Qwen3-1.7B-EdgeRazor-1.58bit)
+
+## Citation
+
+If you find our project useful in your research, please consider kindly citing our papers ✏️:
+
+```
+@article{zhangsh-edgerazor,
+  title={{EdgeRazor}: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation},
+  author={Shu-Hao Zhang and Le-Tong Huang and Xiang-Sheng Deng and Xin-Yi Zou and Chen Wu and Nan Li and Shao-Qun Zhang},
+  year={2026},
+  journal={arXiv preprint arXiv:2605.04062}
+}
+```

asset/Logo-HF.png

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cli.sh

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+#!/bin/bash
+# For W[N]-A8-KV8, Apple CPU-only Inference: --n-gpu-layers 0
+
+CLI=llama-cli
+KV_CACHE_TYPE=q8_0
+
+# Inference parameters for non-thinking mode
+TEMPERATURE=0.6
+MIN_P=0.00
+REPEAT_PENALTY=1.0
+PRESENCE_PENALTY=1.5
+TOP_K=20
+TOP_P=0.95
+
+MODELS=(
+    ./Qwen3-1.7B-EdgeRazor-TQ2_0.gguf
+    ./Qwen3-1.7B-EdgeRazor-TQ1_0.gguf
+    ./Qwen3-1.7B-EdgeRazor-Q4_0.gguf
+    ./Qwen3-1.7B-BF16.gguf
+)
+
+# Show available model list
+echo "Available models:"
+for i in "${!MODELS[@]}"; do
+    echo "  $i) ${MODELS[$i]}"
+done
+
+# Select model (default to the first one)
+if [ -z "$1" ]; then
+    echo ""
+    echo "Usage: $0 <model_index> [prompt]"
+    echo "  model_index: 0, 1, or 2 (default: 0)"
+    echo "  prompt: optional prompt for non-interactive mode"
+    echo ""
+    MODEL_INDEX=0
+else
+    MODEL_INDEX=$1
+fi
+
+MODEL="${MODELS[$MODEL_INDEX]}"
+
+if [ ! -f "$MODEL" ]; then
+    echo "Error: Model file not found: $MODEL"
+    exit 1
+fi
+
+echo "Selected model: $MODEL"
+echo ""
+
+# Run CLI
+if [ -z "$2" ]; then
+    # Interactive mode
+    $CLI \
+        --model "$MODEL" \
+        --n-gpu-layers 0 \
+        --cache-type-k "$KV_CACHE_TYPE" \
+        --cache-type-v "$KV_CACHE_TYPE" \
+        --temp "$TEMPERATURE" \
+        --min-p "$MIN_P" \
+        --repeat-penalty "$REPEAT_PENALTY" \
+        --presence-penalty "$PRESENCE_PENALTY" \
+        --top-k "$TOP_K" \
+        --top-p "$TOP_P" \
+        --flash-attn \
+        --conversation \
+        --interactive-first \
+        --color
+else
+    # Non-interactive mode (single inference)
+    PROMPT="$2"
+    $CLI \
+        --model "$MODEL" \
+        --n-gpu-layers 0 \
+        --cache-type-k "$KV_CACHE_TYPE" \
+        --cache-type-v "$KV_CACHE_TYPE" \
+        --temp "$TEMPERATURE" \
+        --min-p "$MIN_P" \
+        --repeat-penalty "$REPEAT_PENALTY" \
+        --presence-penalty "$PRESENCE_PENALTY" \
+        --top-k "$TOP_K" \
+        --top-p "$TOP_P" \
+        --flash-attn \
+        --prompt "$PROMPT" \
+        --n-predict 512 \
+        --color
+fi

params

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+{
+    "stop": [
+        "<|im_start|>",
+        "<|im_end|>"
+    ],
+    "temperature": 0.6,
+    "min_p" : 0.00,
+    "repeat_penalty" : 1.0,
+    "presence_penalty" : 1.5,
+    "top_k" : 20,
+    "top_p" : 0.95,
+    "num_predict" : 32768,
+    "num_ctx": 40960
+}