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Model: GTOMA83/Qwen2.5-Coder-1.5B-Instruct-GGUF Source: Original Platform
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---
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct/blob/main/LICENSE
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language:
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- en
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base_model:
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- Qwen/Qwen2.5-Coder-1.5B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- code
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- codeqwen
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- chat
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- qwen
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- qwen-coder
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---
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<div>
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<p style="margin-bottom: 0; margin-top: 0;">
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<strong>See <a href="https://huggingface.co/collections/unsloth/qwen3-680edabfb790c8c34a242f95">our collection</a> for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats.</strong>
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</p>
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<p style="margin-bottom: 0;">
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<em>Learn to run Qwen3-Coder correctly - <a href="https://docs.unsloth.ai/basics/qwen3-coder">Read our Guide</a>.</em>
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</p>
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<p style="margin-top: 0;margin-bottom: 0;">
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<em>See <a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0 GGUFs</a> for our quantization benchmarks.</em>
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</p>
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<div style="display: flex; gap: 5px; align-items: center; ">
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<a href="https://github.com/unslothai/unsloth/">
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<img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
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</a>
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<a href="https://discord.gg/unsloth">
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<img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
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</a>
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<a href="https://docs.unsloth.ai/basics/qwen3-coder">
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<img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
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</a>
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</div>
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<h1 style="margin-top: 0rem;">✨ Read our Qwen3-Coder Guide <a href="https://docs.unsloth.ai/basics/qwen3-coder">here</a>!</h1>
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</div>
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- Fine-tune Qwen3 (14B) for free using our Google [Colab notebook](https://docs.unsloth.ai/get-started/unsloth-notebooks)!
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- Read our Blog about Qwen3 support: [unsloth.ai/blog/qwen3](https://unsloth.ai/blog/qwen3)
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- View the rest of our notebooks in our [docs here](https://docs.unsloth.ai/get-started/unsloth-notebooks).
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| Unsloth supports | Free Notebooks | Performance | Memory use |
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|-----------------|--------------------------------------------------------------------------------------------------------------------------|-------------|----------|
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| **Qwen3 (14B)** | [▶️ Start on Colab](https://docs.unsloth.ai/get-started/unsloth-notebooks) | 3x faster | 70% less |
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| **GRPO with Qwen3 (8B)** | [▶️ Start on Colab](https://docs.unsloth.ai/get-started/unsloth-notebooks) | 3x faster | 80% less |
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| **Llama-3.2 (3B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(1B_and_3B)-Conversational.ipynb) | 2.4x faster | 58% less |
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| **Llama-3.2 (11B vision)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(11B)-Vision.ipynb) | 2x faster | 60% less |
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| **Qwen2.5 (7B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_(7B)-Alpaca.ipynb) | 2x faster | 60% less |
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# Qwen2.5-Coder-1.5B-Instruct-GGUF
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<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
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<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
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</a>
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<hr>
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# Perplexity table (the lower the better)
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| Quant | Size (MB) | PPL | Size (%) | Accuracy (%) | PPL error rate |
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| ------- | --------- | -------- | -------- | ------------ | -------------- |
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| IQ1_S | 417 | 193.6245 | 14.13 | 5.24 | 1.77149 |
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| IQ1_M | 443 | 66.9068 | 15.01 | 15.17 | 0.52878 |
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| IQ2_XXS | 488 | 33.3356 | 16.54 | 30.45 | 0.25559 |
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| IQ2_XS | 525 | 20.287 | 17.79 | 50.04 | 0.14936 |
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| IQ2_S | 538 | 18.2927 | 18.23 | 55.49 | 0.1338 |
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| IQ2_M | 574 | 15.4838 | 19.45 | 65.56 | 0.11113 |
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| Q2_K_S | 611 | 16.0169 | 20.7 | 63.38 | 0.11623 |
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| IQ3_XXS | 638 | 12.3935 | 21.62 | 81.91 | 0.0877 |
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| Q2_K | 645 | 14.1657 | 21.86 | 71.66 | 0.10105 |
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| IQ3_XS | 698 | 11.7112 | 23.65 | 86.68 | 0.08256 |
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| Q3_K_S | 726 | 12.4782 | 24.6 | 81.35 | 0.08842 |
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| IQ3_S | 728 | 11.4241 | 24.67 | 88.86 | 0.07977 |
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| IQ3_M | 741 | 11.4058 | 25.11 | 89 | 0.07862 |
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| Q3_K_M | 786 | 11.3529 | 26.64 | 89.42 | 0.08018 |
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| Q3_K_L | 840 | 11.1934 | 28.46 | 90.69 | 0.07913 |
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| IQ4_XS | 855 | 10.5302 | 28.97 | 96.4 | 0.07351 |
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| IQ4_NL | 893 | 10.5116 | 30.26 | 96.57 | 0.07335 |
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| Q4_0 | 895 | 10.8217 | 30.33 | 93.8 | 0.07576 |
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| Q4_K_S | 897 | 10.5236 | 30.4 | 96.46 | 0.0736 |
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| Q4_K_M | 941 | 10.4628 | 31.89 | 97.02 | 0.0731 |
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| Q4_1 | 970 | 10.51 | 32.87 | 96.59 | 0.07347 |
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| Q5_K_S | 1048 | 10.2715 | 35.51 | 98.83 | 0.07148 |
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| Q5_0 | 1051 | 10.3196 | 35.62 | 98.37 | 0.07212 |
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| Q5_K_M | 1073 | 10.2529 | 36.36 | 99.01 | 0.07143 |
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| Q5_1 | 1126 | 10.2624 | 38.16 | 98.92 | 0.0714 |
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| Q6_K | 1214 | 10.203 | 41.14 | 99.49 | 0.07108 |
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| Q8_0 | 1571 | 10.167 | 53.24 | 99.84 | 0.07068 |
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| F16 | 2951 | 10.1512 | 100 | 100 | 0.07058 |
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<hr>
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