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Qwen2.5-1.5B-Instruct-GGUF
by Qwen · source Hugging Face · updated 2024-09-20
apache-2.01.0 GB~2 GB RAMsource aliveunlabeled
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Q…
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Source and license
- Source: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF
- License: apache-2.0 · text
- Requirements: about 2 GB of RAM, 1.0 GB on disk (estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models). Runs with llama.cpp, ollama.
- Tags:
ggufchattext-generationenendpoints_compatibleconversational
Numbers
- 301,376 downloads on Hugging Face
- 170 likes
- license apache-2.0
- 1.0 GB for qwen2.5-1.5b-instruct-q4_k_m.gguf
- 27,659 stars on QwenLM/Qwen3
- 68 open issues and PRs
- 297,971 npm downloads a week for node-llama-cpp
- latest node-llama-cpp@3.22.1
Numbers as of 2026-10-09 19:01 UTC, from the source API.
Summary
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Reviews
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Files
| file | quant | size |
|---|---|---|
qwen2.5-1.5b-instruct-fp16.gguf | 3.3 GB | |
qwen2.5-1.5b-instruct-q2_k.gguf | Q2_K | 718 MB |
qwen2.5-1.5b-instruct-q3_k_m.gguf | Q3_K_M | 882 MB |
qwen2.5-1.5b-instruct-q4_0.gguf | Q4_0 | 1017 MB |
qwen2.5-1.5b-instruct-q4_k_m.gguf | Q4_K_M | 1.0 GB |
qwen2.5-1.5b-instruct-q5_0.gguf | Q5_0 | 1.2 GB |
qwen2.5-1.5b-instruct-q5_k_m.gguf | Q5_K_M | 1.2 GB |
qwen2.5-1.5b-instruct-q6_k.gguf | Q6_K | 1.4 GB |
qwen2.5-1.5b-instruct-q8_0.gguf | Q8_0 | 1.8 GB |
From the source README
Qwen2.5-1.5B-Instruct-GGUF
Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains.
- Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots.
- Long-context Support up to 128K tokens and can generate up to 8K tokens.
- Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
This repo contains the instruction-tuned 1.5B Qwen2.5 model in the GGUF Format, which has the following features:
- Type: Causal Language Models
- Training Stage: Pretraining & Post-training
- Architecture: transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
- Number of Parameters: 1.54B
- Number of Paramaters (Non-Embedding): 1.31B
- Number of Layers: 28
- Number of Attention Heads (GQA): 12 for Q and 2 for KV
- Context Length: Full 32,768 tokens and generation 8192 tokens
- Quantization: q2_K, q3_K_M, q4_0, q4_K_M, q5_0, q5_K_M, q6_K, q8_0
For more details, please refer to our blog, GitHub, and Documentation.
Quickstart
Check out our [llama.cpp documentation](https://qwen.readthedocs.io/en/latest…
Source: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF
Card id model:hf:Qwen/Qwen2.5-1.5B-Instruct-GGUF · collected 2026-10-09 19:01 UTC · JSON