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metadata
base_model: internlm/internlm2-math-plus-7b
inference: false
language:
  - en
  - zh
library_name: gguf
license: other
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - quantized
  - GGUF
  - imatrix
  - quantization
  - imat
  - imatrix
  - static

internlm2-math-plus-7b-IMat-GGUF

Llama.cpp imatrix quantization of internlm/internlm2-math-plus-7b

Original Model: internlm/internlm2-math-plus-7b
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3008
IMatrix dataset: here


Files

IMatrix

Status: βœ… Available
Link: here

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
internlm2-math-plus-7b.Q8_0.gguf Q8_0 8.22GB βœ… Available βšͺ Static πŸ“¦ No
internlm2-math-plus-7b.Q6_K.gguf Q6_K 6.35GB βœ… Available βšͺ Static πŸ“¦ No
internlm2-math-plus-7b.Q4_K.gguf Q4_K 4.71GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.Q3_K.gguf Q3_K 3.83GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.Q2_K.gguf Q2_K 3.01GB βœ… Available 🟒 IMatrix πŸ“¦ No

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
internlm2-math-plus-7b.FP16.gguf F16 15.48GB βœ… Available βšͺ Static πŸ“¦ No
internlm2-math-plus-7b.BF16.gguf BF16 15.48GB βœ… Available βšͺ Static πŸ“¦ No
internlm2-math-plus-7b.Q5_K.gguf Q5_K 5.51GB βœ… Available βšͺ Static πŸ“¦ No
internlm2-math-plus-7b.Q5_K_S.gguf Q5_K_S 5.37GB βœ… Available βšͺ Static πŸ“¦ No
internlm2-math-plus-7b.Q4_K_S Q4_K_S - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.Q3_K_L Q3_K_L - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.Q3_K_S Q3_K_S - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.Q2_K_S Q2_K_S - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ4_NL IQ4_NL - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ4_XS IQ4_XS - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ3_M IQ3_M - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ3_S IQ3_S - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ3_XS IQ3_XS - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ3_XXS IQ3_XXS - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ2_M IQ2_M - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ2_S IQ2_S - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ2_XS IQ2_XS - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ2_XXS IQ2_XXS - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.IQ1_M IQ1_M - ⏳ Processing 🟒 IMatrix -
internlm2-math-plus-7b.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/internlm2-math-plus-7b-IMat-GGUF --include "internlm2-math-plus-7b.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-7b-IMat-GGUF --include "internlm2-math-plus-7b.Q8_0/*" --local-dir internlm2-math-plus-7b.Q8_0
# see FAQ for merging GGUF's

Inference

Simple chat template

<s><|im_start|>user
Can you provide ways to eat combinations of bananas and dragonfruits?<|im_end|>
<|im_start|>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.<|im_end|>
<|im_start|>user
What about solving an 2x + 3 = 7 equation?<|im_end|>

Chat template with system prompt

<s><|im_start|>system
You are a helpful AI.<|im_end|>
<|im_start|>user
Can you provide ways to eat combinations of bananas and dragonfruits?<|im_end|>
<|im_start|>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.<|im_end|>
<|im_start|>user
What about solving an 2x + 3 = 7 equation?<|im_end|>

Llama.cpp

llama.cpp/main -m internlm2-math-plus-7b.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. Locate your GGUF chunks folder (ex: internlm2-math-plus-7b.Q8_0)
  3. Run gguf-split --merge internlm2-math-plus-7b.Q8_0/internlm2-math-plus-7b.Q8_0-00001-of-XXXXX.gguf internlm2-math-plus-7b.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!