Modelpublic

legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF

sourceHugging Faceotherupdated 2y agoView on Hugging Face

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Model Card

internlm2-math-plus-mixtral8x22b-IMat-GGUF

Llama.cpp imatrix quantization of internlm/internlm2-math-plus-mixtral8x22b

Original Model: internlm/internlm2-math-plus-mixtral8x22b Original dtype: BF16 (bfloat16) Quantized by: llama.cpp b3010 IMatrix dataset: here

—internlm2-math-plus-mixtral8x22b-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
internlm2-math-plus-mixtral8x22b.Q8_0/*	Q8_0	149.42GB	✅ Available	⚪ Static	✂ Yes
internlm2-math-plus-mixtral8x22b.Q6_K/*	Q6_K	115.54GB	✅ Available	⚪ Static	✂ Yes
internlm2-math-plus-mixtral8x22b.Q4_K/*	Q4_K	85.59GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.Q3_K/*	Q3_K	67.80GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.Q2_K/*	Q2_K	52.11GB	✅ Available	🟢 IMatrix	✂ Yes

All Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
internlm2-math-plus-mixtral8x22b.BF16/*	BF16	281.25GB	✅ Available	⚪ Static	✂ Yes
internlm2-math-plus-mixtral8x22b.FP16/*	F16	281.25GB	✅ Available	⚪ Static	✂ Yes
internlm2-math-plus-mixtral8x22b.Q5_K/*	Q5_K	99.97GB	✅ Available	⚪ Static	✂ Yes
internlm2-math-plus-mixtral8x22b.Q5_K_S/*	Q5KS	96.98GB	✅ Available	⚪ Static	✂ Yes
internlm2-math-plus-mixtral8x22b.Q4_K_S/*	Q4KS	80.48GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.Q3_K_L/*	Q3KL	72.59GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.Q3_K_S/*	Q3KS	61.50GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.Q2_K_S/*	Q2KS	48.09GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.IQ4_NL/*	IQ4_NL	79.78GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.IQ4_XS/*	IQ4_XS	75.48GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.IQ3_M/*	IQ3_M	64.50GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.IQ3_S/*	IQ3_S	61.50GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.IQ3_XS/*	IQ3_XS	58.23GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.IQ3_XXS/*	IQ3_XXS	54.91GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.IQ2_M/*	IQ2_M	46.71GB	✅ Available	🟢 IMatrix	✂ Yes
internlm2-math-plus-mixtral8x22b.IQ2_S.gguf	IQ2_S	42.60GB	✅ Available	🟢 IMatrix	📦 No
internlm2-math-plus-mixtral8x22b.IQ2_XS.gguf	IQ2_XS	42.00GB	✅ Available	🟢 IMatrix	📦 No
internlm2-math-plus-mixtral8x22b.IQ2_XXS.gguf	IQ2_XXS	37.89GB	✅ Available	🟢 IMatrix	📦 No
internlm2-math-plus-mixtral8x22b.IQ1_M.gguf	IQ1_M	32.74GB	✅ Available	🟢 IMatrix	📦 No
internlm2-math-plus-mixtral8x22b.IQ1_S.gguf	IQ1_S	29.65GB	✅ 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/internlm2-math-plus-mixtral8x22b-IMat-GGUF --include "internlm2-math-plus-mixtral8x22b.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/internlm2-math-plus-mixtral8x22b-IMat-GGUF --include "internlm2-math-plus-mixtral8x22b.Q8_0/*" --local-dir internlm2-math-plus-mixtral8x22b.Q8_0
# see FAQ for merging GGUF's

Inference

Simple chat template

<s>[INST] Can you provide ways to eat combinations of bananas and dragonfruits? [/INST] 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. </s><s>[INST] What about solving an 2x + 3 = 7 equation? [/INST]

Chat template with system prompt

<s>[INST] <<SYS>>
You are a helpful AI.
<</SYS>>

Can you provide ways to eat combinations of bananas and dragonfruits? [/INST] 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. </s><s>[INST] What about solving an 2x + 3 = 7 equation? [/INST]

Llama.cpp

llama.cpp/main -m internlm2-math-plus-mixtral8x22b.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
2.To get hold of gguf-split, navigate to https://github.com/ggerganov/llama.cpp/releases
3.Download the appropriate zip for your system from the latest release
4.Unzip the archive and you should be able to find gguf-split
5.Locate your GGUF chunks folder (ex: internlm2-math-plus-mixtral8x22b.Q8_0)
6.Run gguf-split --merge internlm2-math-plus-mixtral8x22b.Q8_0/internlm2-math-plus-mixtral8x22b.Q8_0-00001-of-XXXXX.gguf internlm2-math-plus-mixtral8x22b.Q8_0.gguf
7.Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!