CoolFace
Modelpublic

legraphista/Qwen2-Math-7B-Instruct-IMat-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
1likes1.3kdownloads
Model Card

Qwen2-Math-7B-Instruct-IMat-GGUF

Llama.cpp imatrix quantization of Qwen/Qwen2-Math-7B-Instruct

Original Model: Qwen/Qwen2-Math-7B-Instruct Original dtype: BF16 (bfloat16) Quantized by: llama.cpp b3547 IMatrix dataset: here


Files

IMatrix

Status: ✅ Available Link: here

Common Quants

FilenameQuant typeFile SizeStatusUses IMatrixIs Split
Qwen2-Math-7B-Instruct.Q8_0.ggufQ8_08.10GB✅ Available⚪ Static📦 No
Qwen2-Math-7B-Instruct.Q6_K.ggufQ6_K6.25GB✅ Available⚪ Static📦 No
Qwen2-Math-7B-Instruct.Q4_K.ggufQ4_K4.68GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.Q3_K.ggufQ3_K3.81GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.Q2_K.ggufQ2_K3.02GB✅ Available🟢 IMatrix📦 No

All Quants

FilenameQuant typeFile SizeStatusUses IMatrixIs Split
Qwen2-Math-7B-Instruct.BF16.ggufBF1615.24GB✅ Available⚪ Static📦 No
Qwen2-Math-7B-Instruct.FP16.ggufF1615.24GB✅ Available⚪ Static📦 No
Qwen2-Math-7B-Instruct.Q8_0.ggufQ8_08.10GB✅ Available⚪ Static📦 No
Qwen2-Math-7B-Instruct.Q6_K.ggufQ6_K6.25GB✅ Available⚪ Static📦 No
Qwen2-Math-7B-Instruct.Q5_K.ggufQ5_K5.44GB✅ Available⚪ Static📦 No
Qwen2-Math-7B-Instruct.Q5_K_S.ggufQ5KS5.32GB✅ Available⚪ Static📦 No
Qwen2-Math-7B-Instruct.Q4_K.ggufQ4_K4.68GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.Q4_K_S.ggufQ4KS4.46GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ4_NL.ggufIQ4_NL4.44GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ4_XS.ggufIQ4_XS4.22GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.Q3_K.ggufQ3_K3.81GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.Q3_K_L.ggufQ3KL4.09GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.Q3_K_S.ggufQ3KS3.49GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ3_M.ggufIQ3_M3.57GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ3_S.ggufIQ3_S3.50GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ3_XS.ggufIQ3_XS3.35GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ3_XXS.ggufIQ3_XXS3.11GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.Q2_K.ggufQ2_K3.02GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.Q2_K_S.ggufQ2KS2.83GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ2_M.ggufIQ2_M2.78GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ2_S.ggufIQ2_S2.60GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ2_XS.ggufIQ2_XS2.47GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ2_XXS.ggufIQ2_XXS2.27GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ1_M.ggufIQ1_M2.04GB✅ Available🟢 IMatrix📦 No
Qwen2-Math-7B-Instruct.IQ1_S.ggufIQ1_S1.90GB✅ 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-Math-7B-Instruct-IMat-GGUF --include "Qwen2-Math-7B-Instruct.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-Math-7B-Instruct-IMat-GGUF --include "Qwen2-Math-7B-Instruct.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-Math-7B-Instruct.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?

  1. 1.Make sure you have gguf-split available
  2. 2.To get hold of gguf-split, navigate to https://github.com/ggerganov/llama.cpp/releases
  3. 3.Download the appropriate zip for your system from the latest release
  4. 4.Unzip the archive and you should be able to find gguf-split
  5. 5.Locate your GGUF chunks folder (ex: Qwen2-Math-7B-Instruct.Q8_0)
  6. 6.Run gguf-split --merge Qwen2-Math-7B-Instruct.Q8_0/Qwen2-Math-7B-Instruct.Q8_0-00001-of-XXXXX.gguf Qwen2-Math-7B-Instruct.Q8_0.gguf
  7. 7.Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!