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llm-compiler-7b-IMat-GGUF

Text Generation
GGUF
quantized
GGUF
quantization
imat
imatrix
static
16bit
8bit
6bit
5bit
4bit
3bit
2bit
1bit
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inference: false
library_name: gguf
license: other
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - quantized
  - GGUF
  - quantization
  - imat
  - imatrix
  - static
  - 16bit
  - 8bit
  - 6bit
  - 5bit
  - 4bit
  - 3bit
  - 2bit
  - 1bit

llm-compiler-7b-IMat-GGUF

Llama.cpp imatrix quantization of facebook/llm-compiler-7b

Original Model: facebook/llm-compiler-7b
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3256
IMatrix dataset: here

Files

IMatrix

Status: ✅ Available
Link: here

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
llm-compiler-7b.Q8_0.gguf Q8_0 7.16GB ✅ Available ⚪ Static 📦 No
llm-compiler-7b.Q6_K.gguf Q6_K 5.53GB ✅ Available ⚪ Static 📦 No
llm-compiler-7b.Q4_K.gguf Q4_K 4.08GB ✅ Available 🟢 IMatrix 📦 No
llm-compiler-7b.Q3_K.gguf Q3_K 3.30GB ✅ Available 🟢 IMatrix 📦 No
llm-compiler-7b.Q2_K Q2_K - ⏳ Processing 🟢 IMatrix -

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
llm-compiler-7b.BF16.gguf BF16 13.48GB ✅ Available ⚪ Static 📦 No
llm-compiler-7b.FP16.gguf F16 13.48GB ✅ Available ⚪ Static 📦 No
llm-compiler-7b.Q8_0.gguf Q8_0 7.16GB ✅ Available ⚪ Static 📦 No
llm-compiler-7b.Q6_K.gguf Q6_K 5.53GB ✅ Available ⚪ Static 📦 No
llm-compiler-7b.Q5_K.gguf Q5_K 4.78GB ✅ Available ⚪ Static 📦 No
llm-compiler-7b.Q5_K_S.gguf Q5_K_S 4.65GB ✅ Available ⚪ Static 📦 No
llm-compiler-7b.Q4_K.gguf Q4_K 4.08GB ✅ Available 🟢 IMatrix 📦 No
llm-compiler-7b.Q4_K_S Q4_K_S - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ4_NL IQ4_NL - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ4_XS IQ4_XS - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.Q3_K.gguf Q3_K 3.30GB ✅ Available 🟢 IMatrix 📦 No
llm-compiler-7b.Q3_K_L Q3_K_L - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.Q3_K_S Q3_K_S - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ3_M IQ3_M - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ3_S IQ3_S - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ3_XS IQ3_XS - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ3_XXS IQ3_XXS - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.Q2_K Q2_K - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.Q2_K_S Q2_K_S - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ2_M IQ2_M - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ2_S IQ2_S - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ2_XS IQ2_XS - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ2_XXS IQ2_XXS - ⏳ Processing 🟢 IMatrix -
llm-compiler-7b.IQ1_M IQ1_M - ⏳ Processing 🟢 IMatrix -
llm-compiler-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/llm-compiler-7b-IMat-GGUF --include "llm-compiler-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/llm-compiler-7b-IMat-GGUF --include "llm-compiler-7b.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

Inference

Llama.cpp 

llama.cpp/main -m llm-compiler-7b.Q8_0.gguf --color -i -p "prompt here"

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: llm-compiler-7b.Q8_0)
  3. Run gguf-split --merge llm-compiler-7b.Q8_0/llm-compiler-7b.Q8_0-00001-of-XXXXX.gguf llm-compiler-7b.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

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