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inference: false |
|
library_name: gguf |
|
license: other |
|
pipeline_tag: text-generation |
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quantized_by: legraphista |
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tags: |
|
- quantized |
|
- GGUF |
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- quantization |
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- imat |
|
- imatrix |
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- static |
|
- 16bit |
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- 8bit |
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- 6bit |
|
- 5bit |
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- 4bit |
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- 3bit |
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- 2bit |
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- 1bit |
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--- |
|
|
|
# llm-compiler-7b-IMat-GGUF |
|
_Llama.cpp imatrix quantization of facebook/llm-compiler-7b_ |
|
|
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Original Model: [facebook/llm-compiler-7b](https://huggingface.co/facebook/llm-compiler-7b) |
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Original dtype: `BF16` (`bfloat16`) |
|
Quantized by: llama.cpp [b3256](https://github.com/ggerganov/llama.cpp/releases/tag/b3256) |
|
IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt) |
|
|
|
- [Files](#files) |
|
- [IMatrix](#imatrix) |
|
- [Common Quants](#common-quants) |
|
- [All Quants](#all-quants) |
|
- [Downloading using huggingface-cli](#downloading-using-huggingface-cli) |
|
- [Inference](#inference) |
|
- [Llama.cpp](#llama-cpp) |
|
- [FAQ](#faq) |
|
- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere) |
|
- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf) |
|
|
|
--- |
|
|
|
## Files |
|
|
|
### IMatrix |
|
Status: ✅ Available |
|
Link: [here](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/imatrix.dat) |
|
|
|
### Common Quants |
|
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
|
| -------- | ---------- | --------- | ------ | ------------ | -------- | |
|
| [llm-compiler-7b.Q8_0.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q8_0.gguf) | Q8_0 | 7.16GB | ✅ Available | ⚪ Static | 📦 No |
|
| [llm-compiler-7b.Q6_K.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q6_K.gguf) | Q6_K | 5.53GB | ✅ Available | ⚪ Static | 📦 No |
|
| [llm-compiler-7b.Q4_K.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q4_K.gguf) | Q4_K | 4.08GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.Q3_K.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q3_K.gguf) | Q3_K | 3.30GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.Q2_K.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q2_K.gguf) | Q2_K | 2.53GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
|
|
|
|
### All Quants |
|
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
|
| -------- | ---------- | --------- | ------ | ------------ | -------- | |
|
| [llm-compiler-7b.BF16.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.BF16.gguf) | BF16 | 13.48GB | ✅ Available | ⚪ Static | 📦 No |
|
| [llm-compiler-7b.FP16.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.FP16.gguf) | F16 | 13.48GB | ✅ Available | ⚪ Static | 📦 No |
|
| [llm-compiler-7b.Q8_0.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q8_0.gguf) | Q8_0 | 7.16GB | ✅ Available | ⚪ Static | 📦 No |
|
| [llm-compiler-7b.Q6_K.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q6_K.gguf) | Q6_K | 5.53GB | ✅ Available | ⚪ Static | 📦 No |
|
| [llm-compiler-7b.Q5_K.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q5_K.gguf) | Q5_K | 4.78GB | ✅ Available | ⚪ Static | 📦 No |
|
| [llm-compiler-7b.Q5_K_S.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q5_K_S.gguf) | Q5_K_S | 4.65GB | ✅ Available | ⚪ Static | 📦 No |
|
| [llm-compiler-7b.Q4_K.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q4_K.gguf) | Q4_K | 4.08GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.Q4_K_S.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q4_K_S.gguf) | Q4_K_S | 3.86GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.IQ4_NL.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.IQ4_NL.gguf) | IQ4_NL | 3.83GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.IQ4_XS.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.IQ4_XS.gguf) | IQ4_XS | 3.62GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.Q3_K.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q3_K.gguf) | Q3_K | 3.30GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.Q3_K_L.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q3_K_L.gguf) | Q3_K_L | 3.60GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.Q3_K_S.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q3_K_S.gguf) | Q3_K_S | 2.95GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.IQ3_M.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.IQ3_M.gguf) | IQ3_M | 3.11GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.IQ3_S.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.IQ3_S.gguf) | IQ3_S | 2.95GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.IQ3_XS.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.IQ3_XS.gguf) | IQ3_XS | 2.80GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.IQ3_XXS.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.IQ3_XXS.gguf) | IQ3_XXS | 2.59GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.Q2_K.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q2_K.gguf) | Q2_K | 2.53GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.Q2_K_S.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.Q2_K_S.gguf) | Q2_K_S | 2.32GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [llm-compiler-7b.IQ2_M.gguf](https://huggingface.co/legraphista/llm-compiler-7b-IMat-GGUF/blob/main/llm-compiler-7b.IQ2_M.gguf) | IQ2_M | 2.36GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| 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](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), 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: `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. |
|
|
|
--- |
|
|
|
Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |
