bartowski/SicariusSicariiStuff_Phi-lthy4-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: bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-13 15:09:07 +08:00
commit 3335d69bb5
29 changed files with 315 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
SicariusSicariiStuff_Phi-lthy4-f16.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q6_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q5_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q4_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q3_K_XL.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q2_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4-f32.gguf filter=lfs diff=lfs merge=lfs -text
SicariusSicariiStuff_Phi-lthy4.imatrix filter=lfs diff=lfs merge=lfs -text

175
README.md Normal file
View File

@@ -0,0 +1,175 @@
---
quantized_by: bartowski
pipeline_tag: text-generation
license: mit
language:
- en
tags:
- not-for-all-audiences
base_model: SicariusSicariiStuff/Phi-lthy4
---
## Llamacpp imatrix Quantizations of Phi-lthy4 by SicariusSicariiStuff
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4688">b4688</a> for quantization.
Original model: https://huggingface.co/SicariusSicariiStuff/Phi-lthy4
All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)
Run them in [LM Studio](https://lmstudio.ai/)
Run them directly with [llama.cpp](https://github.com/ggerganov/llama.cpp), or any other llama.cpp based project
## Prompt format
```
<|im_start|>system
{system_prompt}<|im_end|><|im_start|>user
{prompt}<|im_end|><|im_start|>assistant
```
## Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Split | Description |
| -------- | ---------- | --------- | ----- | ----------- |
| [Phi-lthy4-f32.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-f32.gguf) | f32 | 47.74GB | false | Full F32 weights. |
| [Phi-lthy4-f16.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-f16.gguf) | f16 | 23.87GB | false | Full F16 weights. |
| [Phi-lthy4-Q8_0.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q8_0.gguf) | Q8_0 | 12.68GB | false | Extremely high quality, generally unneeded but max available quant. |
| [Phi-lthy4-Q6_K_L.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q6_K_L.gguf) | Q6_K_L | 10.04GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
| [Phi-lthy4-Q6_K.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q6_K.gguf) | Q6_K | 9.79GB | false | Very high quality, near perfect, *recommended*. |
| [Phi-lthy4-Q5_K_L.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q5_K_L.gguf) | Q5_K_L | 8.80GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
| [Phi-lthy4-Q5_K_M.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q5_K_M.gguf) | Q5_K_M | 8.49GB | false | High quality, *recommended*. |
| [Phi-lthy4-Q5_K_S.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q5_K_S.gguf) | Q5_K_S | 8.28GB | false | High quality, *recommended*. |
| [Phi-lthy4-Q4_K_L.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q4_K_L.gguf) | Q4_K_L | 7.64GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
| [Phi-lthy4-Q4_1.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q4_1.gguf) | Q4_1 | 7.56GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
| [Phi-lthy4-Q4_K_M.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q4_K_M.gguf) | Q4_K_M | 7.26GB | false | Good quality, default size for most use cases, *recommended*. |
| [Phi-lthy4-Q4_K_S.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q4_K_S.gguf) | Q4_K_S | 6.90GB | false | Slightly lower quality with more space savings, *recommended*. |
| [Phi-lthy4-IQ4_NL.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-IQ4_NL.gguf) | IQ4_NL | 6.88GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
| [Phi-lthy4-Q4_0.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q4_0.gguf) | Q4_0 | 6.87GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
| [Phi-lthy4-Q3_K_XL.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q3_K_XL.gguf) | Q3_K_XL | 6.81GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
| [Phi-lthy4-IQ4_XS.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-IQ4_XS.gguf) | IQ4_XS | 6.53GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
| [Phi-lthy4-Q3_K_L.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q3_K_L.gguf) | Q3_K_L | 6.36GB | false | Lower quality but usable, good for low RAM availability. |
| [Phi-lthy4-Q3_K_M.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q3_K_M.gguf) | Q3_K_M | 5.89GB | false | Low quality. |
| [Phi-lthy4-IQ3_M.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-IQ3_M.gguf) | IQ3_M | 5.52GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
| [Phi-lthy4-Q3_K_S.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q3_K_S.gguf) | Q3_K_S | 5.33GB | false | Low quality, not recommended. |
| [Phi-lthy4-IQ3_XS.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-IQ3_XS.gguf) | IQ3_XS | 5.11GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
| [Phi-lthy4-Q2_K_L.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q2_K_L.gguf) | Q2_K_L | 5.11GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
| [Phi-lthy4-IQ3_XXS.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-IQ3_XXS.gguf) | IQ3_XXS | 4.77GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. |
| [Phi-lthy4-Q2_K.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-Q2_K.gguf) | Q2_K | 4.61GB | false | Very low quality but surprisingly usable. |
| [Phi-lthy4-IQ2_M.gguf](https://huggingface.co/bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF/blob/main/SicariusSicariiStuff_Phi-lthy4-IQ2_M.gguf) | IQ2_M | 4.25GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
## Embed/output weights
Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
## Downloading using huggingface-cli
<details>
<summary>Click to view download instructions</summary>
First, make sure you have hugginface-cli installed:
```
pip install -U "huggingface_hub[cli]"
```
Then, you can target the specific file you want:
```
huggingface-cli download bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF --include "SicariusSicariiStuff_Phi-lthy4-Q4_K_M.gguf" --local-dir ./
```
If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
```
huggingface-cli download bartowski/SicariusSicariiStuff_Phi-lthy4-GGUF --include "SicariusSicariiStuff_Phi-lthy4-Q8_0/*" --local-dir ./
```
You can either specify a new local-dir (SicariusSicariiStuff_Phi-lthy4-Q8_0) or download them all in place (./)
</details>
## ARM/AVX information
Previously, you would download Q4_0_4_4/4_8/8_8, and these would have their weights interleaved in memory in order to improve performance on ARM and AVX machines by loading up more data in one pass.
Now, however, there is something called "online repacking" for weights. details in [this PR](https://github.com/ggerganov/llama.cpp/pull/9921). If you use Q4_0 and your hardware would benefit from repacking weights, it will do it automatically on the fly.
As of llama.cpp build [b4282](https://github.com/ggerganov/llama.cpp/releases/tag/b4282) you will not be able to run the Q4_0_X_X files and will instead need to use Q4_0.
Additionally, if you want to get slightly better quality for , you can use IQ4_NL thanks to [this PR](https://github.com/ggerganov/llama.cpp/pull/10541) which will also repack the weights for ARM, though only the 4_4 for now. The loading time may be slower but it will result in an overall speed incrase.
<details>
<summary>Click to view Q4_0_X_X information (deprecated</summary>
I'm keeping this section to show the potential theoretical uplift in performance from using the Q4_0 with online repacking.
<details>
<summary>Click to view benchmarks on an AVX2 system (EPYC7702)</summary>
| model | size | params | backend | threads | test | t/s | % (vs Q4_0) |
| ------------------------------ | ---------: | ---------: | ---------- | ------: | ------------: | -------------------: |-------------: |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp512 | 204.03 ± 1.03 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp1024 | 282.92 ± 0.19 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp2048 | 259.49 ± 0.44 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg128 | 39.12 ± 0.27 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg256 | 39.31 ± 0.69 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg512 | 40.52 ± 0.03 | 100% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp512 | 301.02 ± 1.74 | 147% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp1024 | 287.23 ± 0.20 | 101% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp2048 | 262.77 ± 1.81 | 101% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg128 | 18.80 ± 0.99 | 48% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg256 | 24.46 ± 3.04 | 83% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg512 | 36.32 ± 3.59 | 90% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp512 | 271.71 ± 3.53 | 133% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp1024 | 279.86 ± 45.63 | 100% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp2048 | 320.77 ± 5.00 | 124% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg128 | 43.51 ± 0.05 | 111% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg256 | 43.35 ± 0.09 | 110% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg512 | 42.60 ± 0.31 | 105% |
Q4_0_8_8 offers a nice bump to prompt processing and a small bump to text generation
</details>
</details>
## Which file should I choose?
<details>
<summary>Click here for details</summary>
A great write up with charts showing various performances is provided by Artefact2 [here](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
The first thing to figure out is how big a model you can run. To do this, you'll need to figure out how much RAM and/or VRAM you have.
If you want your model running as FAST as possible, you'll want to fit the whole thing on your GPU's VRAM. Aim for a quant with a file size 1-2GB smaller than your GPU's total VRAM.
If you want the absolute maximum quality, add both your system RAM and your GPU's VRAM together, then similarly grab a quant with a file size 1-2GB Smaller than that total.
Next, you'll need to decide if you want to use an 'I-quant' or a 'K-quant'.
If you don't want to think too much, grab one of the K-quants. These are in format 'QX_K_X', like Q5_K_M.
If you want to get more into the weeds, you can check out this extremely useful feature chart:
[llama.cpp feature matrix](https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix)
But basically, if you're aiming for below Q4, and you're running cuBLAS (Nvidia) or rocBLAS (AMD), you should look towards the I-quants. These are in format IQX_X, like IQ3_M. These are newer and offer better performance for their size.
These I-quants can also be used on CPU and Apple Metal, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide.
The I-quants are *not* compatible with Vulcan, which is also AMD, so if you have an AMD card double check if you're using the rocBLAS build or the Vulcan build. At the time of writing this, LM Studio has a preview with ROCm support, and other inference engines have specific builds for ROCm.
</details>
## Credits
Thank you kalomaze and Dampf for assistance in creating the imatrix calibration dataset.
Thank you ZeroWw for the inspiration to experiment with embed/output.
Thank you to LM Studio for sponsoring my work.
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

3
SicariusSicariiStuff_Phi-lthy4-IQ2_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:074f1c82cdeb76fce9c0e8906052533dc9503f5feabb0c8974696a63684d8bef
size 4254653696

3
SicariusSicariiStuff_Phi-lthy4-IQ3_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5a5a5242a98b42155687538bf6c826247de43731f28b40e955e5d335d6995fd9
size 5520973056

3
SicariusSicariiStuff_Phi-lthy4-IQ3_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ad3ce3f554c2eb57c9fcb62d9f98ed95a90090d0c988518b419675e2cfe925eb
size 5105229056

3
SicariusSicariiStuff_Phi-lthy4-IQ3_XXS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ec0458899b5964e1a11d0e86aaf9a25e9bba9e0193bf3f4bacbac7ea6897e5c0
size 4765015296

3
SicariusSicariiStuff_Phi-lthy4-IQ4_NL.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:66356c813f6489363587802877d67a63edd8fc8fbcc4129153f400be59c252a0
size 6875766016

3
SicariusSicariiStuff_Phi-lthy4-IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f3af406f01ea6a87134495da6d51d749b63fc51c70a1f04e2b309e3605f2d31d
size 6525476096

3
SicariusSicariiStuff_Phi-lthy4-Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7e03878620a632876fdbe3772c75779d6168970c06668818d61a274b3b081d4a
size 4605762816

3
SicariusSicariiStuff_Phi-lthy4-Q2_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0578022d87e53a8ed7d2b160f4c8afdc6e33ec05d8f080f315ff0cb4ee505e1a
size 5107522816

3
SicariusSicariiStuff_Phi-lthy4-Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:193a4f7d9861bfb5f057f4e0bbf79c8c2d2abc9ab64190ed875d06e7f241fd80
size 6360243456

3
SicariusSicariiStuff_Phi-lthy4-Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f1865ec7a52bd9191f7bfc35436dc4ef756536567770b0c0bf0f7e3c69375203
size 5886745856

3
SicariusSicariiStuff_Phi-lthy4-Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b62378cebd34dadcdb3c7eb053e28916721411c26a44b2a0f75fe170620e7def
size 5332966656

3
SicariusSicariiStuff_Phi-lthy4-Q3_K_XL.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5799e54b1d55a9231497cf2d8fff55c97e458a5f2b8f766f30aee4ab3af90f46
size 6809820416

3
SicariusSicariiStuff_Phi-lthy4-Q4_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:45e93d14ba7c32b1dfc73ab742f23f96720384ea50622bc1338dcb143c9e56de
size 6872489216

3
SicariusSicariiStuff_Phi-lthy4-Q4_1.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:725ed5e81ecf3fae29bfee0371d1fc5383e4680c30c4f1560a44d315dd581506
size 7563238656

3
SicariusSicariiStuff_Phi-lthy4-Q4_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f346a85afa8dab1fc2560938483bc6a665ef687048ae0a8be2311f545e0834e6
size 7636393216

3
SicariusSicariiStuff_Phi-lthy4-Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a5004b2d0f3eb869f07285f53ec283aa383063085987113d2a41cb54708fb5ad
size 7255055616

3
SicariusSicariiStuff_Phi-lthy4-Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:184d51ed68526f7e6fa51fac811332a3322a7a2605cd856e34b2363f3aef7739
size 6898703616

3
SicariusSicariiStuff_Phi-lthy4-Q5_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b9cd645ffb33a68a43dc3e1364a94f8672997cdb78e1ce0ba08fb3620c711f62
size 8802934016

3
SicariusSicariiStuff_Phi-lthy4-Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bdf4deee4d8320c2315e538212f6fb1741a3b574b1152d9643fdac9f3288aa25
size 8485821696

3
SicariusSicariiStuff_Phi-lthy4-Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5718e07d5215e1b64ab90c7e08d654647ce0844046f816a56ff1ad8ba049d84b
size 8276925696

3
SicariusSicariiStuff_Phi-lthy4-Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7d058c063078a755ec7014d5ed6ded1f1f3e2ccd7ed706fd67d08f5668cd8abb
size 9793510656

3
SicariusSicariiStuff_Phi-lthy4-Q6_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3eb7d276fa6b387b60eea7cde88eb989968fdf4109028b84c5efe4ab9c39c87f
size 10042383616

3
SicariusSicariiStuff_Phi-lthy4-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cdcb9dd5f0489cf1114f9db916ec3976d0e9276d39b83be6f617e7f0f264c6c7
size 12683484416

3
SicariusSicariiStuff_Phi-lthy4-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:223f5f9898c194ef531b8d106e6e7c6efee59a6a8c8a92d315937c1ba9a54e0b
size 23870479616

3
SicariusSicariiStuff_Phi-lthy4-f32.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7674b243d3c6d0ff56da3cfdc4b6929b3a1da4ed2d12ca28607c944e9c7173ef
size 47736069120

3
SicariusSicariiStuff_Phi-lthy4.imatrix Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2b7d64959071a6c26ad210d4b72629a48bc8497ec6c4ebbe3b20d2943e807737
size 6233354

1
configuration.json Normal file
View File

@@ -0,0 +1 @@
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}