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.gguf Q4_K_S 4.48GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.Q3_K_L.gguf Q3_K_L 4.13GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.Q3_K_S.gguf Q3_K_S 3.48GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.Q2_K_S.gguf Q2_K_S 2.82GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ4_NL.gguf IQ4_NL 4.47GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ4_XS.gguf IQ4_XS 4.24GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ3_M.gguf IQ3_M 3.60GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ3_S.gguf IQ3_S 3.49GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ3_XS.gguf IQ3_XS 3.33GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ3_XXS.gguf IQ3_XXS 3.11GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ2_M.gguf IQ2_M 2.78GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ2_S.gguf IQ2_S 2.59GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ2_XS.gguf IQ2_XS 2.45GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ2_XXS.gguf IQ2_XXS 2.24GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ1_M.gguf IQ1_M 2.01GB βœ… Available 🟒 IMatrix πŸ“¦ No
internlm2-math-plus-7b.IQ1_S.gguf IQ1_S 1.87GB βœ… Available 🟒 IMatrix πŸ“¦ 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-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!

Downloads last month
376
GGUF
Model size
7.74B params
Architecture
internlm2

1-bit

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Examples
Inference API (serverless) has been turned off for this model.

Model tree for legraphista/internlm2-math-plus-7b-IMat-GGUF

Quantized
(8)
this model

Collection including legraphista/internlm2-math-plus-7b-IMat-GGUF