README.md

metadata

base_model: Qwen/Qwen2-57B-A14B-Instruct
inference: false
language:
  - en
library_name: gguf
license: apache-2.0
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - chat
  - quantized
  - GGUF
  - quantization
  - static
  - 16bit
  - 8bit
  - 6bit
  - 5bit
  - 4bit
  - 3bit
  - 2bit

Qwen2-57B-A14B-Instruct-GGUF

Llama.cpp static quantization of Qwen/Qwen2-57B-A14B-Instruct

Original Model: Qwen/Qwen2-57B-A14B-Instruct
Original dtype: BF16 (bfloat16)
Quantized by: https://github.com/ggerganov/llama.cpp/tree/master
IMatrix dataset: here

• Files
  • Common Quants
  • All Quants
• Downloading using huggingface-cli
• Inference
  • Simple chat template
  • Chat template with system prompt
  • Llama.cpp
• FAQ
  • Why is the IMatrix not applied everywhere?
  • How do I merge a split GGUF?

---

Files

Common Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
Qwen2-57B-A14B-Instruct.Q8_0/*	Q8_0	61.02GB	✅ Available	⚪ Static	✂ Yes
Qwen2-57B-A14B-Instruct.Q6_K/*	Q6_K	47.12GB	✅ Available	⚪ Static	✂ Yes
Qwen2-57B-A14B-Instruct.Q4_K.gguf	Q4_K	34.85GB	✅ Available	⚪ Static	📦 No
Qwen2-57B-A14B-Instruct.Q3_K.gguf	Q3_K	27.51GB	✅ Available	⚪ Static	📦 No
Qwen2-57B-A14B-Instruct.Q2_K.gguf	Q2_K	21.06GB	✅ Available	⚪ Static	📦 No

All Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
Qwen2-57B-A14B-Instruct.BF16/*	BF16	114.84GB	✅ Available	⚪ Static	✂ Yes
Qwen2-57B-A14B-Instruct.FP16/*	F16	114.84GB	✅ Available	⚪ Static	✂ Yes
Qwen2-57B-A14B-Instruct.Q8_0/*	Q8_0	61.02GB	✅ Available	⚪ Static	✂ Yes
Qwen2-57B-A14B-Instruct.Q6_K/*	Q6_K	47.12GB	✅ Available	⚪ Static	✂ Yes
Qwen2-57B-A14B-Instruct.Q5_K.gguf	Q5_K	40.80GB	✅ Available	⚪ Static	📦 No
Qwen2-57B-A14B-Instruct.Q5_K_S	Q5_K_S	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.Q4_K.gguf	Q4_K	34.85GB	✅ Available	⚪ Static	📦 No
Qwen2-57B-A14B-Instruct.Q4_K_S	Q4_K_S	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.IQ4_NL	IQ4_NL	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.IQ4_XS	IQ4_XS	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.Q3_K.gguf	Q3_K	27.51GB	✅ Available	⚪ Static	📦 No
Qwen2-57B-A14B-Instruct.Q3_K_L	Q3_K_L	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.Q3_K_S	Q3_K_S	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.IQ3_M	IQ3_M	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.IQ3_S	IQ3_S	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.IQ3_XS	IQ3_XS	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.IQ3_XXS	IQ3_XXS	-	⏳ Processing	⚪ Static	-
Qwen2-57B-A14B-Instruct.Q2_K.gguf	Q2_K	21.06GB	✅ Available	⚪ Static	📦 No
Qwen2-57B-A14B-Instruct.IQ2_M	IQ2_M	-	⏳ Processing	⚪ Static	-

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/Qwen2-57B-A14B-Instruct-GGUF --include "Qwen2-57B-A14B-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/Qwen2-57B-A14B-Instruct-GGUF --include "Qwen2-57B-A14B-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 Qwen2-57B-A14B-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. 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
2. Locate your GGUF chunks folder (ex: Qwen2-57B-A14B-Instruct.Q8_0)
3. Run gguf-split --merge Qwen2-57B-A14B-Instruct.Q8_0/Qwen2-57B-A14B-Instruct.Q8_0-00001-of-XXXXX.gguf Qwen2-57B-A14B-Instruct.Q8_0.gguf
   • Make sure to point gguf-split to the first chunk of the split.

---

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