legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-11 07:02:16 +08:00
commit 1461ebeab0
30 changed files with 2936 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

61
.gitattributes vendored Normal file
View File

@@ -0,0 +1,61 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bz2 filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.ftz filter=lfs diff=lfs merge=lfs -text
*.gz filter=lfs diff=lfs merge=lfs -text
*.h5 filter=lfs diff=lfs merge=lfs -text
*.joblib filter=lfs diff=lfs merge=lfs -text
*.lfs.* filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.onnx filter=lfs diff=lfs merge=lfs -text
*.ot filter=lfs diff=lfs merge=lfs -text
*.parquet filter=lfs diff=lfs merge=lfs -text
*.pb filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
*.safetensors filter=lfs diff=lfs merge=lfs -text
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.tar.* filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.tflite filter=lfs diff=lfs merge=lfs -text
*.tgz filter=lfs diff=lfs merge=lfs -text
*.wasm filter=lfs diff=lfs merge=lfs -text
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
imatrix.dat filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.BF16.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.FP16.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text

3
Meta-Llama-3.1-8B-Instruct-abliterated.BF16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ce54c98c6c9650181c9c4b093c8842cd2d959fe14d6b7a4df50dc489301e80b2
size 16068891680

3
Meta-Llama-3.1-8B-Instruct-abliterated.FP16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:227eb4b5928200205fe3349a1151db8d0949af8583051fb4ede9d3acf8969324
size 16068891680

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:95a4871d51189a5c7a82598420e007fcde6ffa9dbb4b169e282472b5e5c5d0cb
size 2161972576

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:da6e993aa075353f88099e39e9ca83b12e26419a2f77c01cddbf2968db0ab015
size 2019628384

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1a35e53743575383f16332509ccb54cdc97e3abff78a76a2254c0bc7537be992
size 2948281696

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:508cbc1069abe869515389a6c048c81e012b3e59e0c97a4cf18fe932a99f1a2b
size 2758489440

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:418c679390bd8f8a5d56c4fc6c401e0ded5ecc1b04a5a5f8ef83ca8590017328
size 2605782368

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XXS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e99fa08112bee86162c57e9247e4851aa560136bdddf0810577011e9462a3610
size 2399212896

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4d007a7f67c29a35b0534c8b94885256bd3bd6d9b257a41ec6cf476efb95c9da
size 3784824160

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:be678f92c8b1e9c44e1ebd22307f13d122d24611f533271fee014d7da5f33907
size 3682325856

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9a689a06c0a5f9ade25774bf1656088d86e3ccb0add3de4bafabeeea2f7cb87c
size 3518748000

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XXS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f4ea20919d51e965af3a9be7eefadd2f25af6340f786839ee601b4a1c3db5a4b
size 3274913120

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_NL.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:daeb54998ab0c164a245f7859ce01b825589b134dbeb796815713658adb9c5c7
size 4677989728

3
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:13bc4175e9d63e10bca8f6138dfe53d6e40d53d14001dec63522072c05d3dadb
size 4447663456

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:40380a8ee208776ae282641431d518cf3c06b95d4e156be18f1dd4af39542e16
size 3179132256

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:80bef78694e80dae11eb08bd2d6deda1c64e62901112223fe82c226414f88df9
size 2988815712

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5f1185b73595e1674f843ad7e97a9add7f02c43e9fd03ed14bb0aa9729022656
size 4018918752

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f670feeebb824aaab8393d4987d84a6da2255ec93840503992cf052efd9de11b
size 4321957216

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9a71adc83299ba36dfdc472981b9c643b6a199f934cab82c10cef900204ee51f
size 3664500064

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e4d2cf864c548409af5f45c8e5c50675c4405fee5c993a64e0f1b53ff95837e7
size 4920735072

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fa911dd36a1cc95b05b00093bdd8255a1c3e914c866106de97563ce50f4b2218
size 4692669792

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:21c790e31d3f0a110a9e93dc7eee55f553150bf7e4ca4b5090f000a8f787b7d7
size 5732987936

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f4ae398762a960ecde9b530f226c7af3d77e937f449f0c8d66037b69e0b61b37
size 5599294496

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:216535f783ec7637453b94c67fb6b48878715d522591a7265cc8ae4f3d3593d7
size 6596006944

3
Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ae422480ff8308f367baa1ff5daf82ff32f13a46c7a81f4c1c47c888e53e77ef
size 8540771360

166
README.md Normal file
View File

@@ -0,0 +1,166 @@
---
base_model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
inference: false
library_name: gguf
license: llama3.1
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- abliterated
- uncensored
- quantized
- GGUF
- quantization
- imat
- imatrix
- static
- 16bit
- 8bit
- 6bit
- 5bit
- 4bit
- 3bit
- 2bit
- 1bit
---
# Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF
_Llama.cpp imatrix quantization of mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated_
Original Model: [mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated](https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated)
Original dtype: `BF16` (`bfloat16`)
Quantized by: llama.cpp [b3484](https://github.com/ggerganov/llama.cpp/releases/tag/b3484)
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)
- [Simple chat template](#simple-chat-template)
- [Chat template with system prompt](#chat-template-with-system-prompt)
- [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/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/imatrix.dat)
### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf) | Q8_0 | 8.54GB | ✅ Available | ⚪ Static | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No
### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Meta-Llama-3.1-8B-Instruct-abliterated.BF16.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.BF16.gguf) | BF16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.FP16.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.FP16.gguf) | F16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf) | Q8_0 | 8.54GB | ✅ Available | ⚪ Static | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K.gguf) | Q5_K | 5.73GB | ✅ Available | ⚪ Static | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_S.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_S.gguf) | Q5_K_S | 5.60GB | ✅ Available | ⚪ Static | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_S.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_S.gguf) | Q4_K_S | 4.69GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_NL.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_NL.gguf) | IQ4_NL | 4.68GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_XS.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_XS.gguf) | IQ4_XS | 4.45GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_L.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_L.gguf) | Q3_K_L | 4.32GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_S.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_S.gguf) | Q3_K_S | 3.66GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_M.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_M.gguf) | IQ3_M | 3.78GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_S.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_S.gguf) | IQ3_S | 3.68GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XS.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XS.gguf) | IQ3_XS | 3.52GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XXS.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XXS.gguf) | IQ3_XXS | 3.27GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K_S.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K_S.gguf) | Q2_K_S | 2.99GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_M.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_M.gguf) | IQ2_M | 2.95GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_S.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_S.gguf) | IQ2_S | 2.76GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XS.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XS.gguf) | IQ2_XS | 2.61GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XXS.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XXS.gguf) | IQ2_XXS | 2.40GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_M.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_M.gguf) | IQ1_M | 2.16GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_S.gguf](https://huggingface.co/legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/blob/main/Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_S.gguf) | IQ1_S | 2.02GB | ✅ 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/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF --include "Meta-Llama-3.1-8B-Instruct-abliterated.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/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF --include "Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
```
---
## Inference
### Simple chat template
```
<|begin_of_text|><|start_header_id|>user<|end_header_id|>
{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>
{next_user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
```
### Chat template with system prompt
```
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>
{next_user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
```
### Llama.cpp
```
llama.cpp/main -m Meta-Llama-3.1-8B-Instruct-abliterated.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](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: `Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0`)
3. Run `gguf-split --merge Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0/Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0-00001-of-XXXXX.gguf Meta-Llama-3.1-8B-Instruct-abliterated.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)!

3
imatrix.dat Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:81c619aac8f8b3e750f178612f6ad23ae4ec836960fd35e9e5cffe9fc9e4f1dc
size 4988198

2482
imatrix.dataset Normal file
View File

File diff suppressed because one or more lines are too long

149
imatrix.log Normal file
View File

@@ -0,0 +1,149 @@
llama_model_loader: loaded meta data with 31 key-value pairs and 292 tensors from Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf.hardlink.gguf (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = llama
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Meta Llama 3.1 8B Instruct Abliterated
llama_model_loader: - kv 3: general.finetune str = Instruct-abliterated
llama_model_loader: - kv 4: general.basename str = Meta-Llama-3.1
llama_model_loader: - kv 5: general.size_label str = 8B
llama_model_loader: - kv 6: general.license str = llama3.1
llama_model_loader: - kv 7: general.base_model.count u32 = 1
llama_model_loader: - kv 8: general.base_model.0.name str = Meta Llama 3.1 8B Instruct
llama_model_loader: - kv 9: general.base_model.0.organization str = Meta Llama
llama_model_loader: - kv 10: general.base_model.0.repo_url str = https://huggingface.co/meta-llama/Met...
llama_model_loader: - kv 11: general.tags arr[str,2] = ["abliterated", "uncensored"]
llama_model_loader: - kv 12: llama.block_count u32 = 32
llama_model_loader: - kv 13: llama.context_length u32 = 131072
llama_model_loader: - kv 14: llama.embedding_length u32 = 4096
llama_model_loader: - kv 15: llama.feed_forward_length u32 = 14336
llama_model_loader: - kv 16: llama.attention.head_count u32 = 32
llama_model_loader: - kv 17: llama.attention.head_count_kv u32 = 8
llama_model_loader: - kv 18: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 19: general.file_type u32 = 7
llama_model_loader: - kv 20: llama.vocab_size u32 = 128256
llama_model_loader: - kv 21: llama.rope.dimension_count u32 = 128
llama_model_loader: - kv 22: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 23: tokenizer.ggml.pre str = llama-bpe
llama_model_loader: - kv 24: tokenizer.ggml.tokens arr[str,128256] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 25: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 26: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "...
llama_model_loader: - kv 27: tokenizer.ggml.bos_token_id u32 = 128000
llama_model_loader: - kv 28: tokenizer.ggml.eos_token_id u32 = 128009
llama_model_loader: - kv 29: tokenizer.chat_template str = {% set loop_messages = messages %}{% ...
llama_model_loader: - kv 30: general.quantization_version u32 = 2
llama_model_loader: - type f32: 66 tensors
llama_model_loader: - type q8_0: 226 tensors
llm_load_vocab: special tokens cache size = 256
llm_load_vocab: token to piece cache size = 0.7999 MB
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 128256
llm_load_print_meta: n_merges = 280147
llm_load_print_meta: vocab_only = 0
llm_load_print_meta: n_ctx_train = 131072
llm_load_print_meta: n_embd = 4096
llm_load_print_meta: n_layer = 32
llm_load_print_meta: n_head = 32
llm_load_print_meta: n_head_kv = 8
llm_load_print_meta: n_rot = 128
llm_load_print_meta: n_swa = 0
llm_load_print_meta: n_embd_head_k = 128
llm_load_print_meta: n_embd_head_v = 128
llm_load_print_meta: n_gqa = 4
llm_load_print_meta: n_embd_k_gqa = 1024
llm_load_print_meta: n_embd_v_gqa = 1024
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: f_logit_scale = 0.0e+00
llm_load_print_meta: n_ff = 14336
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
llm_load_print_meta: causal attn = 1
llm_load_print_meta: pooling type = 0
llm_load_print_meta: rope type = 0
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_ctx_orig_yarn = 131072
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: ssm_d_conv = 0
llm_load_print_meta: ssm_d_inner = 0
llm_load_print_meta: ssm_d_state = 0
llm_load_print_meta: ssm_dt_rank = 0
llm_load_print_meta: model type = 8B
llm_load_print_meta: model ftype = Q8_0
llm_load_print_meta: model params = 8.03 B
llm_load_print_meta: model size = 7.95 GiB (8.50 BPW)
llm_load_print_meta: general.name = Meta Llama 3.1 8B Instruct Abliterated
llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>'
llm_load_print_meta: EOS token = 128009 '<|eot_id|>'
llm_load_print_meta: LF token = 128 'Ä'
llm_load_print_meta: EOT token = 128009 '<|eot_id|>'
llm_load_print_meta: max token length = 256
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 CUDA devices:
Device 0: NVIDIA GeForce RTX 4090, compute capability 8.9, VMM: yes
llm_load_tensors: ggml ctx size = 0.27 MiB
llm_load_tensors: offloading 32 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 33/33 layers to GPU
llm_load_tensors: CPU buffer size = 532.31 MiB
llm_load_tensors: CUDA0 buffer size = 7605.34 MiB
.........................................................................................
llama_new_context_with_model: n_ctx = 512
llama_new_context_with_model: n_batch = 512
llama_new_context_with_model: n_ubatch = 512
llama_new_context_with_model: flash_attn = 0
llama_new_context_with_model: freq_base = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init: CUDA0 KV buffer size = 64.00 MiB
llama_new_context_with_model: KV self size = 64.00 MiB, K (f16): 32.00 MiB, V (f16): 32.00 MiB
llama_new_context_with_model: CUDA_Host output buffer size = 0.49 MiB
llama_new_context_with_model: CUDA0 compute buffer size = 258.50 MiB
llama_new_context_with_model: CUDA_Host compute buffer size = 9.01 MiB
llama_new_context_with_model: graph nodes = 1030
llama_new_context_with_model: graph splits = 2
system_info: n_threads = 25 / 32 | AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | AVX512_BF16 = 1 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |
compute_imatrix: tokenizing the input ..
compute_imatrix: tokenization took 39.509 ms
compute_imatrix: computing over 125 chunks with batch_size 512
compute_imatrix: 0.68 seconds per pass - ETA 1.40 minutes
[1]7.0879,[2]5.6746,[3]5.1642,[4]6.3097,[5]6.6435,[6]5.4778,[7]5.9064,[8]6.5247,[9]6.7963,
save_imatrix: stored collected data after 10 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[10]6.1381,[11]6.6961,[12]7.3893,[13]7.8834,[14]8.3969,[15]8.7444,[16]9.0568,[17]9.2784,[18]8.8756,[19]8.3935,
save_imatrix: stored collected data after 20 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[20]8.3887,[21]8.5765,[22]8.5103,[23]8.8419,[24]8.7664,[25]9.1740,[26]9.1658,[27]9.3214,[28]9.6092,[29]9.6259,
save_imatrix: stored collected data after 30 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[30]9.6208,[31]9.0791,[32]8.5899,[33]8.3527,[34]8.1595,[35]8.2341,[36]8.3076,[37]8.2326,[38]8.3380,[39]8.5501,
save_imatrix: stored collected data after 40 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[40]8.6737,[41]8.8574,[42]9.0736,[43]9.3619,[44]9.5417,[45]9.7630,[46]9.5971,[47]9.7666,[48]9.8564,[49]9.9567,
save_imatrix: stored collected data after 50 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[50]9.8372,[51]9.9395,[52]10.0823,[53]10.1798,[54]10.2499,[55]10.3437,[56]10.3959,[57]10.4569,[58]10.4559,[59]10.4698,
save_imatrix: stored collected data after 60 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[60]10.4089,[61]10.3711,[62]10.4057,[63]10.4433,[64]10.3233,[65]10.2776,[66]10.2865,[67]10.2494,[68]10.2191,[69]10.1952,
save_imatrix: stored collected data after 70 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[70]10.1794,[71]10.1597,[72]10.1452,[73]10.1104,[74]10.0241,[75]10.0245,[76]10.0268,[77]9.9790,[78]9.9726,[79]10.0272,
save_imatrix: stored collected data after 80 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[80]10.0628,[81]10.0478,[82]10.0432,[83]10.0969,[84]9.9513,[85]9.9352,[86]9.9365,[87]9.9505,[88]9.9717,[89]9.9539,
save_imatrix: stored collected data after 90 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[90]9.8700,[91]9.7703,[92]9.6800,[93]9.5952,[94]9.5091,[95]9.4239,[96]9.3628,[97]9.3764,[98]9.4357,[99]9.5426,
save_imatrix: stored collected data after 100 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[100]9.6401,[101]9.6957,[102]9.8550,[103]9.8822,[104]9.9342,[105]9.8331,[106]9.8347,[107]9.7782,[108]9.6888,[109]9.5983,
save_imatrix: stored collected data after 110 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[110]9.6488,[111]9.7143,[112]9.7335,[113]9.7393,[114]9.7898,[115]9.8457,[116]9.8633,[117]9.9023,[118]9.9265,[119]9.8498,
save_imatrix: stored collected data after 120 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
[120]9.8838,[121]9.9413,[122]9.9906,[123]10.0559,[124]10.1170,[125]10.1703,
save_imatrix: stored collected data after 125 chunks in Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF/imatrix.dat
llama_print_timings: load time = 2092.86 ms
llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
llama_print_timings: prompt eval time = 69696.00 ms / 64000 tokens ( 1.09 ms per token, 918.27 tokens per second)
llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
llama_print_timings: total time = 71971.70 ms / 64001 tokens
Final estimate: PPL = 10.1703 +/- 0.16718