README.md

metadata

base_model: Bin12345/AutoCoder
inference: false
library_name: gguf
license: apache-2.0
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - quantized
  - GGUF
  - imatrix
  - quantization
  - imat
  - imatrix
  - static

AutoCoder-IMat-GGUF

Llama.cpp imatrix quantization of Bin12345/AutoCoder

Original Model: Bin12345/AutoCoder
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3010
IMatrix dataset: here

• AutoCoder-IMat-GGUF
  • Files
    • IMatrix
    • 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

IMatrix

Status: ✅ Available
Link: here

Common Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
AutoCoder.Q8_0.gguf	Q8_0	35.43GB	✅ Available	⚪ Static	📦 No
AutoCoder.Q6_K.gguf	Q6_K	27.36GB	✅ Available	⚪ Static	📦 No
AutoCoder.Q4_K.gguf	Q4_K	19.94GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.Q3_K.gguf	Q3_K	16.09GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.Q2_K.gguf	Q2_K	12.36GB	✅ Available	🟢 IMatrix	📦 No

All Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
AutoCoder.BF16/*	BF16	66.69GB	✅ Available	⚪ Static	✂ Yes
AutoCoder.FP16/*	F16	66.69GB	✅ Available	⚪ Static	✂ Yes
AutoCoder.Q5_K.gguf	Q5_K	23.54GB	✅ Available	⚪ Static	📦 No
AutoCoder.Q5_K_S.gguf	Q5_K_S	22.96GB	✅ Available	⚪ Static	📦 No
AutoCoder.Q4_K_S.gguf	Q4_K_S	18.94GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.Q3_K_L.gguf	Q3_K_L	17.56GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.Q3_K_S.gguf	Q3_K_S	14.42GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.Q2_K_S.gguf	Q2_K_S	11.39GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.IQ4_NL.gguf	IQ4_NL	18.88GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.IQ4_XS.gguf	IQ4_XS	17.86GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.IQ3_M.gguf	IQ3_M	15.03GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.IQ3_S.gguf	IQ3_S	14.48GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.IQ3_XS.gguf	IQ3_XS	13.71GB	✅ Available	🟢 IMatrix	📦 No
AutoCoder.IQ3_XXS	IQ3_XXS	-	⏳ Processing	🟢 IMatrix	-
AutoCoder.IQ2_M	IQ2_M	-	⏳ Processing	🟢 IMatrix	-
AutoCoder.IQ2_S	IQ2_S	-	⏳ Processing	🟢 IMatrix	-
AutoCoder.IQ2_XS	IQ2_XS	-	⏳ Processing	🟢 IMatrix	-
AutoCoder.IQ2_XXS	IQ2_XXS	-	⏳ Processing	🟢 IMatrix	-
AutoCoder.IQ1_M	IQ1_M	-	⏳ Processing	🟢 IMatrix	-
AutoCoder.IQ1_S	IQ1_S	-	⏳ Processing	🟢 IMatrix	-

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/AutoCoder-IMat-GGUF --include "AutoCoder.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/AutoCoder-IMat-GGUF --include "AutoCoder.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

---

Inference

Simple chat template

Human: Can you provide ways to eat combinations of bananas and dragonfruits?
Assistant: Sure! Here are some ways to eat bananas and dragonfruits together:
 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|EOT|>
Human: What about solving an 2x + 3 = 7 equation?
Assistant: 

Chat template with system prompt

You are a helpful AI.
Human: Can you provide ways to eat combinations of bananas and dragonfruits?
Assistant: Sure! Here are some ways to eat bananas and dragonfruits together:
 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|EOT|>
Human: What about solving an 2x + 3 = 7 equation?
Assistant: 

Llama.cpp

llama.cpp/main -m AutoCoder.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: AutoCoder.Q8_0)
3. Run gguf-split --merge AutoCoder.Q8_0/AutoCoder.Q8_0-00001-of-XXXXX.gguf AutoCoder.Q8_0.gguf
   • Make sure to point gguf-split to the first chunk of the split.

---

Got a suggestion? Ping me @legraphista!