bartowski/speakleash_Bielik-11B-v3.0-Instruct-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/speakleash_Bielik-11B-v3.0-Instruct-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-08-05 19:55:17 +08:00
commit a1dbe2093d
29 changed files with 325 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

74
.gitattributes vendored Normal file
View File

@@ -0,0 +1,74 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bin.* filter=lfs diff=lfs merge=lfs -text
*.bz2 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
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack 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
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
saved_model/**/* 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
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zstandard filter=lfs diff=lfs merge=lfs -text
*.tfevents* filter=lfs diff=lfs merge=lfs -text
*.db* filter=lfs diff=lfs merge=lfs -text
*.ark* filter=lfs diff=lfs merge=lfs -text
**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
*.safetensors filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.ggml filter=lfs diff=lfs merge=lfs -text
*.llamafile* filter=lfs diff=lfs merge=lfs -text
*.pt2 filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.wasm filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q5_K_L.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-imatrix.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-bf16.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q2_K_L.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q4_K_L.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q6_K_L.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q3_K_XL.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
speakleash_Bielik-11B-v3.0-Instruct-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

172
README.md Normal file
View File

@@ -0,0 +1,172 @@
---
quantized_by: bartowski
pipeline_tag: text-generation
base_model_relation: quantized
base_model: speakleash/Bielik-11B-v3.0-Instruct
---
## Llamacpp imatrix Quantizations of Bielik-11B-v3.0-Instruct by speakleash
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b7610">b7610</a> for quantization.
Original model: https://huggingface.co/speakleash/Bielik-11B-v3.0-Instruct
All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/82ae9b520227f57d79ba04add13d0d0d)
Run them in your choice of tools:
- [llama.cpp](https://github.com/ggml-org/llama.cpp)
- [LM Studio](https://lmstudio.ai/)
- [koboldcpp](https://github.com/LostRuins/koboldcpp)
- [Jan AI](https://www.jan.ai/)
- [Text Generation Web UI](https://github.com/oobabooga/text-generation-webui)
- [LoLLMs](https://github.com/ParisNeo/lollms)
Note: if it's a newly supported model, you may need to wait for an update from the developers.
## Prompt format
No prompt format found, check original model page
## Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Split | Description |
| -------- | ---------- | --------- | ----- | ----------- |
| [Bielik-11B-v3.0-Instruct-bf16.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-bf16.gguf) | bf16 | 22.34GB | false | Full BF16 weights. |
| [Bielik-11B-v3.0-Instruct-Q8_0.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q8_0.gguf) | Q8_0 | 11.87GB | false | Extremely high quality, generally unneeded but max available quant. |
| [Bielik-11B-v3.0-Instruct-Q6_K_L.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q6_K_L.gguf) | Q6_K_L | 9.23GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
| [Bielik-11B-v3.0-Instruct-Q6_K.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q6_K.gguf) | Q6_K | 9.16GB | false | Very high quality, near perfect, *recommended*. |
| [Bielik-11B-v3.0-Instruct-Q5_K_L.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q5_K_L.gguf) | Q5_K_L | 7.99GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
| [Bielik-11B-v3.0-Instruct-Q5_K_M.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q5_K_M.gguf) | Q5_K_M | 7.91GB | false | High quality, *recommended*. |
| [Bielik-11B-v3.0-Instruct-Q5_K_S.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q5_K_S.gguf) | Q5_K_S | 7.70GB | false | High quality, *recommended*. |
| [Bielik-11B-v3.0-Instruct-Q4_1.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q4_1.gguf) | Q4_1 | 7.01GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
| [Bielik-11B-v3.0-Instruct-Q4_K_L.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q4_K_L.gguf) | Q4_K_L | 6.82GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
| [Bielik-11B-v3.0-Instruct-Q4_K_M.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q4_K_M.gguf) | Q4_K_M | 6.72GB | false | Good quality, default size for most use cases, *recommended*. |
| [Bielik-11B-v3.0-Instruct-Q4_K_S.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q4_K_S.gguf) | Q4_K_S | 6.36GB | false | Slightly lower quality with more space savings, *recommended*. |
| [Bielik-11B-v3.0-Instruct-Q4_0.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q4_0.gguf) | Q4_0 | 6.34GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
| [Bielik-11B-v3.0-Instruct-IQ4_NL.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-IQ4_NL.gguf) | IQ4_NL | 6.34GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
| [Bielik-11B-v3.0-Instruct-IQ4_XS.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-IQ4_XS.gguf) | IQ4_XS | 6.01GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
| [Bielik-11B-v3.0-Instruct-Q3_K_XL.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q3_K_XL.gguf) | Q3_K_XL | 6.00GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
| [Bielik-11B-v3.0-Instruct-Q3_K_L.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q3_K_L.gguf) | Q3_K_L | 5.88GB | false | Lower quality but usable, good for low RAM availability. |
| [Bielik-11B-v3.0-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q3_K_M.gguf) | Q3_K_M | 5.40GB | false | Low quality. |
| [Bielik-11B-v3.0-Instruct-IQ3_M.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-IQ3_M.gguf) | IQ3_M | 5.04GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
| [Bielik-11B-v3.0-Instruct-Q3_K_S.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q3_K_S.gguf) | Q3_K_S | 4.85GB | false | Low quality, not recommended. |
| [Bielik-11B-v3.0-Instruct-IQ3_XS.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-IQ3_XS.gguf) | IQ3_XS | 4.63GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
| [Bielik-11B-v3.0-Instruct-IQ3_XXS.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-IQ3_XXS.gguf) | IQ3_XXS | 4.34GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. |
| [Bielik-11B-v3.0-Instruct-Q2_K_L.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q2_K_L.gguf) | Q2_K_L | 4.29GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
| [Bielik-11B-v3.0-Instruct-Q2_K.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-Q2_K.gguf) | Q2_K | 4.16GB | false | Very low quality but surprisingly usable. |
| [Bielik-11B-v3.0-Instruct-IQ2_M.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-IQ2_M.gguf) | IQ2_M | 3.82GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
| [Bielik-11B-v3.0-Instruct-IQ2_S.gguf](https://huggingface.co/bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF/blob/main/speakleash_Bielik-11B-v3.0-Instruct-IQ2_S.gguf) | IQ2_S | 3.53GB | false | Low quality, uses SOTA techniques to be 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/speakleash_Bielik-11B-v3.0-Instruct-GGUF --include "speakleash_Bielik-11B-v3.0-Instruct-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/speakleash_Bielik-11B-v3.0-Instruct-GGUF --include "speakleash_Bielik-11B-v3.0-Instruct-Q8_0/*" --local-dir ./
```
You can either specify a new local-dir (speakleash_Bielik-11B-v3.0-Instruct-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/ggml-org/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/ggml-org/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/ggml-org/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/ggml-org/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, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide.
</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

1
configuration.json Normal file
View File

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

3
speakleash_Bielik-11B-v3.0-Instruct-IQ2_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1dab5354077f63cb19a65769e40a43b3b62a191381c2974bd7c00a408bc45b39
size 3823567552

3
speakleash_Bielik-11B-v3.0-Instruct-IQ2_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e58428d1dfe19143e15d036a82758466b7b32682061ff69841b58916d688be28
size 3526558400

3
speakleash_Bielik-11B-v3.0-Instruct-IQ3_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:550c18dd23d6826737e54522d1c9cd7edcf6abd8f30ae01d0ed9a2ddf2209340
size 5038781120

3
speakleash_Bielik-11B-v3.0-Instruct-IQ3_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e7f538bbd98bc2a1a4c7e431434c1d6c2956756b8a5ced1446427af4b2c8b9e3
size 4627739328

3
speakleash_Bielik-11B-v3.0-Instruct-IQ3_XXS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9b8d6ece200c7f5cf8596bf99c9dc33c3840987f44321d8c07dd8778702f56c7
size 4335534784

3
speakleash_Bielik-11B-v3.0-Instruct-IQ4_NL.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c847d08904648796a8f451bd108042c0005aea4764ce4212e6022f06dab2688a
size 6344762048

3
speakleash_Bielik-11B-v3.0-Instruct-IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3039c389720f128515fd42af9f214376e1a97750623ea11d8c03963b95f32cad
size 6006416064

3
speakleash_Bielik-11B-v3.0-Instruct-Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a9626edecab2ff0820941a2a75b07ae6d9eae470b58643d205e73b568b6f94c8
size 4164338368

3
speakleash_Bielik-11B-v3.0-Instruct-Q2_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f7f7ab9f7942550c6be24e7bc7f2b92ba0a072986decdc22468f05df9a95250a
size 4292850368

3
speakleash_Bielik-11B-v3.0-Instruct-Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:af2f26f2d6dc1ef8220587e444482607e1e90c0549959dc5239f326ca9d08092
size 5880001216

3
speakleash_Bielik-11B-v3.0-Instruct-Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b47ad0f4f9cc11b6604a1e103deaa07e88608f5e1e9dad563d8e80738c8369b9
size 5404996288

3
speakleash_Bielik-11B-v3.0-Instruct-Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e61b852001dc767c4698283d3c5355c85c50251f6ff7f2bb61662ff57ba78fdd
size 4852724416

3
speakleash_Bielik-11B-v3.0-Instruct-Q3_K_XL.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:27ac5586a2d2911152bad408405c7069a7aeb32fbe2dc18b02e7e6c6c4087c62
size 5995147968

3
speakleash_Bielik-11B-v3.0-Instruct-Q4_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bc8fe763809ccf8fe777fb966fa5607dc7c81edcc88772c6c10eb1acc69dfa52
size 6340567744

3
speakleash_Bielik-11B-v3.0-Instruct-Q4_1.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b8ba3eaa335a7e5f7c29e7ed19aa5c74c84774c651aa650f8cdb31dd542bea31
size 7008346816

3
speakleash_Bielik-11B-v3.0-Instruct-Q4_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2f97486be19a78c530ea3c471529f1f8369e5413177dd250d9ed23fedc8c5d9b
size 6821720768

3
speakleash_Bielik-11B-v3.0-Instruct-Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2466261fcc2898cb49ed7b08a47799257de68be952bee5e7fd19c8ddaabc087a
size 6724051648

3
speakleash_Bielik-11B-v3.0-Instruct-Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8b072b7f0e291b8a1586010e1416376f69ea6ea4ea864f5be4c143dd088d71d6
size 6364684992

3
speakleash_Bielik-11B-v3.0-Instruct-Q5_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:59ffcb87e3e776fc42f922a6c6e0dfbd9e85e8a7cab8cd02564ef7c83327a907
size 7988261568

3
speakleash_Bielik-11B-v3.0-Instruct-Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:91296461ad7401fa22a02e826cade499e11be26351d1f33315571bcaff2ea686
size 7907041984

3
speakleash_Bielik-11B-v3.0-Instruct-Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:91bcb50b7d0e11161ab46a746f1215f84e1defc3e3074f67e7315c631f15b10b
size 7698145984

3
speakleash_Bielik-11B-v3.0-Instruct-Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:71b3d7b53909713cace617c7524c18f1b285d29e1f446a29f9e6f2b8845ab897
size 9163969216

3
speakleash_Bielik-11B-v3.0-Instruct-Q6_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a1ef0161964b3b575db93c23c30f8521b41770921af3f16e828611b6db2c4304
size 9227711168

3
speakleash_Bielik-11B-v3.0-Instruct-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1cf25b62b3b843f7dcef7478a26984cba2bfab7ae32e30286c1cf25dda9fabf2
size 11868811968

3
speakleash_Bielik-11B-v3.0-Instruct-bf16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b36c28be39b6b22a8acef89a9929150cbd9293eb34e008acdc4475880a8e691d
size 22339170688

3
speakleash_Bielik-11B-v3.0-Instruct-imatrix.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a35f9a88be5179dcbe6ef67f79ec70fa0a201e4295f74f9ba86780c987c08dc5
size 7836256