metadata

base_model: Qwen/Qwen2-0.5B
inference: false
language:
  - en
library_name: gguf
license: apache-2.0
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - pretrained
  - quantized
  - GGUF
  - imatrix
  - quantization
  - imat
  - imatrix
  - static
  - 16bit
  - 8bit
  - 6bit
  - 5bit
  - 4bit
  - 3bit
  - 2bit
  - 1bit

Qwen2-0.5B-IMat-GGUF

Llama.cpp imatrix quantization of Qwen/Qwen2-0.5B

Original Model: Qwen/Qwen2-0.5B
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3091
IMatrix dataset: here

Files
Downloading using huggingface-cli
Inference
FAQ
- Why is the IMatrix not applied everywhere?
- How do I merge a split GGUF?

Files

IMatrix

Status: ✅ Available
Link: here

Common Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
Qwen2-0.5B.Q8_0.gguf	Q8_0	531.07MB	✅ Available	⚪ Static	📦 No
Qwen2-0.5B.Q6_K.gguf	Q6_K	505.73MB	✅ Available	⚪ Static	📦 No
Qwen2-0.5B.Q4_K.gguf	Q4_K	397.81MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.Q3_K.gguf	Q3_K	355.46MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.Q2_K.gguf	Q2_K	338.60MB	✅ Available	🟢 IMatrix	📦 No

All Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
Qwen2-0.5B.BF16.gguf	BF16	994.15MB	✅ Available	⚪ Static	📦 No
Qwen2-0.5B.FP16.gguf	F16	994.15MB	✅ Available	⚪ Static	📦 No
Qwen2-0.5B.Q8_0.gguf	Q8_0	531.07MB	✅ Available	⚪ Static	📦 No
Qwen2-0.5B.Q6_K.gguf	Q6_K	505.73MB	✅ Available	⚪ Static	📦 No
Qwen2-0.5B.Q5_K.gguf	Q5_K	420.08MB	✅ Available	⚪ Static	📦 No
Qwen2-0.5B.Q5_K_S.gguf	Q5_K_S	412.71MB	✅ Available	⚪ Static	📦 No
Qwen2-0.5B.Q4_K.gguf	Q4_K	397.81MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.Q4_K_S.gguf	Q4_K_S	385.47MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ4_NL.gguf	IQ4_NL	352.67MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ4_XS.gguf	IQ4_XS	349.40MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.Q3_K.gguf	Q3_K	355.46MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.Q3_K_L.gguf	Q3_K_L	369.36MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.Q3_K_S.gguf	Q3_K_S	338.26MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ3_M.gguf	IQ3_M	342.75MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ3_S.gguf	IQ3_S	338.60MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ3_XS.gguf	IQ3_XS	338.60MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ3_XXS.gguf	IQ3_XXS	333.70MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.Q2_K.gguf	Q2_K	338.60MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.Q2_K_S.gguf	Q2_K_S	331.05MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ2_M.gguf	IQ2_M	328.59MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ2_S.gguf	IQ2_S	325.73MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ2_XS.gguf	IQ2_XS	324.41MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ2_XXS.gguf	IQ2_XXS	321.55MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ1_M.gguf	IQ1_M	317.97MB	✅ Available	🟢 IMatrix	📦 No
Qwen2-0.5B.IQ1_S.gguf	IQ1_S	315.83MB	✅ Available	🟢 IMatrix	📦 No

Downloading using huggingface-cli

If you do not have hugginface-cli installed:

pip install -U "huggingface_hub[cli]"

Download the specific file you want:

huggingface-cli download legraphista/Qwen2-0.5B-IMat-GGUF --include "Qwen2-0.5B.Q8_0.gguf" --local-dir ./

If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:

huggingface-cli download legraphista/Qwen2-0.5B-IMat-GGUF --include "Qwen2-0.5B.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

Inference

Simple chat template

<|im_start|>system
You are a helpful assistant<|im_end|>
<|im_start|>user
{user_prompt}<|im_end|>
<|im_start|>assistant
{assistant_response}<|im_end|>
<|im_start|>user
{next_user_prompt}<|im_end|>

Chat template with system prompt

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{user_prompt}<|im_end|>
<|im_start|>assistant
{assistant_response}<|im_end|>
<|im_start|>user
{next_user_prompt}<|im_end|>

Llama.cpp

llama.cpp/main -m Qwen2-0.5B.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"

FAQ

Why is the IMatrix not applied everywhere?

According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

How do I merge a split GGUF?

Make sure you have gguf-split available
- To get hold of gguf-split, navigate to https://github.com/ggerganov/llama.cpp/releases
- Download the appropriate zip for your system from the latest release
- Unzip the archive and you should be able to find gguf-split
Locate your GGUF chunks folder (ex: Qwen2-0.5B.Q8_0)
Run gguf-split --merge Qwen2-0.5B.Q8_0/Qwen2-0.5B.Q8_0-00001-of-XXXXX.gguf Qwen2-0.5B.Q8_0.gguf
- Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!