bartowski/SmallThinker-3B-Preview-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/SmallThinker-3B-Preview-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-14 03:32:05 +08:00
commit ca5fb85d5a
28 changed files with 306 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

60
.gitattributes vendored Normal file
View File

@@ -0,0 +1,60 @@
*.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
SmallThinker-3B-Preview-f16.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q6_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q5_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q4_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q3_K_XL.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q2_K_L.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview-f32.gguf filter=lfs diff=lfs merge=lfs -text
SmallThinker-3B-Preview.imatrix filter=lfs diff=lfs merge=lfs -text

170
README.md Normal file
View File

@@ -0,0 +1,170 @@
---
quantized_by: bartowski
pipeline_tag: text-generation
base_model: PowerInfer/SmallThinker-3B-Preview
datasets:
- PowerInfer/QWQ-LONGCOT-500K
---
## Llamacpp imatrix Quantizations of SmallThinker-3B-Preview
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4381">b4381</a> for quantization.
Original model: https://huggingface.co/PowerInfer/SmallThinker-3B-Preview
All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)
Run them in [LM Studio](https://lmstudio.ai/)
## 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 |
| -------- | ---------- | --------- | ----- | ----------- |
| [SmallThinker-3B-Preview-f32.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-f32.gguf) | f32 | 13.59GB | false | Full F32 weights. |
| [SmallThinker-3B-Preview-f16.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-f16.gguf) | f16 | 6.80GB | false | Full F16 weights. |
| [SmallThinker-3B-Preview-Q8_0.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q8_0.gguf) | Q8_0 | 3.62GB | false | Extremely high quality, generally unneeded but max available quant. |
| [SmallThinker-3B-Preview-Q6_K_L.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q6_K_L.gguf) | Q6_K_L | 2.94GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
| [SmallThinker-3B-Preview-Q6_K.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q6_K.gguf) | Q6_K | 2.79GB | false | Very high quality, near perfect, *recommended*. |
| [SmallThinker-3B-Preview-Q5_K_L.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q5_K_L.gguf) | Q5_K_L | 2.63GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
| [SmallThinker-3B-Preview-Q5_K_M.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q5_K_M.gguf) | Q5_K_M | 2.44GB | false | High quality, *recommended*. |
| [SmallThinker-3B-Preview-Q5_K_S.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q5_K_S.gguf) | Q5_K_S | 2.38GB | false | High quality, *recommended*. |
| [SmallThinker-3B-Preview-Q4_K_L.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q4_K_L.gguf) | Q4_K_L | 2.34GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
| [SmallThinker-3B-Preview-Q4_1.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q4_1.gguf) | Q4_1 | 2.19GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
| [SmallThinker-3B-Preview-Q3_K_XL.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q3_K_XL.gguf) | Q3_K_XL | 2.11GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
| [SmallThinker-3B-Preview-Q4_K_M.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q4_K_M.gguf) | Q4_K_M | 2.10GB | false | Good quality, default size for most use cases, *recommended*. |
| [SmallThinker-3B-Preview-Q4_K_S.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q4_K_S.gguf) | Q4_K_S | 2.01GB | false | Slightly lower quality with more space savings, *recommended*. |
| [SmallThinker-3B-Preview-Q4_0.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q4_0.gguf) | Q4_0 | 2.00GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
| [SmallThinker-3B-Preview-IQ4_NL.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-IQ4_NL.gguf) | IQ4_NL | 2.00GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
| [SmallThinker-3B-Preview-IQ4_XS.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-IQ4_XS.gguf) | IQ4_XS | 1.90GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
| [SmallThinker-3B-Preview-Q3_K_L.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q3_K_L.gguf) | Q3_K_L | 1.84GB | false | Lower quality but usable, good for low RAM availability. |
| [SmallThinker-3B-Preview-Q3_K_M.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q3_K_M.gguf) | Q3_K_M | 1.72GB | false | Low quality. |
| [SmallThinker-3B-Preview-Q2_K_L.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q2_K_L.gguf) | Q2_K_L | 1.68GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
| [SmallThinker-3B-Preview-IQ3_M.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-IQ3_M.gguf) | IQ3_M | 1.62GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
| [SmallThinker-3B-Preview-Q3_K_S.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q3_K_S.gguf) | Q3_K_S | 1.59GB | false | Low quality, not recommended. |
| [SmallThinker-3B-Preview-IQ3_XS.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-IQ3_XS.gguf) | IQ3_XS | 1.53GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
| [SmallThinker-3B-Preview-Q2_K.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-Q2_K.gguf) | Q2_K | 1.38GB | false | Very low quality but surprisingly usable. |
| [SmallThinker-3B-Preview-IQ2_M.gguf](https://huggingface.co/bartowski/SmallThinker-3B-Preview-GGUF/blob/main/SmallThinker-3B-Preview-IQ2_M.gguf) | IQ2_M | 1.27GB | 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/SmallThinker-3B-Preview-GGUF --include "SmallThinker-3B-Preview-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/SmallThinker-3B-Preview-GGUF --include "SmallThinker-3B-Preview-Q8_0/*" --local-dir ./
```
You can either specify a new local-dir (SmallThinker-3B-Preview-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.
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

3
SmallThinker-3B-Preview-IQ2_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:97a7c531025a41441391d846b43e7b1d2bda8fe59211d3a13b901a21e432cf4e
size 1274217568

3
SmallThinker-3B-Preview-IQ3_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:88002f4d255d995c595da392e5a56bdd7280b19f9dd2fbda6239b4b57f60e252
size 1622596704

3
SmallThinker-3B-Preview-IQ3_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:241bea40033f4e8f1b32ef45cc113daab920406a1f135240afc2fc404b0f6dca
size 1525537888

3
SmallThinker-3B-Preview-IQ4_NL.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:28e5b5bd161bb94d38728ef5e431a17a1322434768e3b133e1c560a9c36f17c4
size 2000237664

3
SmallThinker-3B-Preview-IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3aca5ae36eb2c10450bd582b7cf7dce62b327d171520c9c6a213e01b8fe7e0da
size 1904399456

3
SmallThinker-3B-Preview-Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:67fcbcda34acd843063f04f7a973a12c5fde85010fe7893638e6fe9806722076
size 1376855136

3
SmallThinker-3B-Preview-Q2_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3fcb7d2006763f6a902b1f59e346a4d02f37a1d1be23e734c09ce540253f8009
size 1680727136

3
SmallThinker-3B-Preview-Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d5b82044125a0ccc1265cf11b9863631b0c6ca093aabb53639f095575e5c85a8
size 1841093728

3
SmallThinker-3B-Preview-Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e612b6cc57c2fa863f386902e029fcfa12a06d786904967acb324465cc54399d
size 1724177504

3
SmallThinker-3B-Preview-Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:594b030499b99a5b541f7957ec697cf919f6b089507cbfade72d0e63e586da3b
size 1588059232

3
SmallThinker-3B-Preview-Q3_K_XL.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:74c3f7185e135312d9bea3229571b11f099d3decc7de015338f87ee988e33d8b
size 2113363040

3
SmallThinker-3B-Preview-Q4_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6fd68ca62d34b919a76357b930f243aa9d7946fdd24be22a884a381cfb2553b6
size 2003514464

3
SmallThinker-3B-Preview-Q4_1.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:384ddd8600a016166c34f669ff770848cf028acacaceb7a2108f3a3a15fafd35
size 2190734432

3
SmallThinker-3B-Preview-Q4_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2975bd32bc903d8da17550fa0a3c5f1f6770c260a6b04506a742aed66b310cde
size 2335874144

3
SmallThinker-3B-Preview-Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ac04f82a09ee6a2748437c3bb774b638a54099dc7d5d6ef7549893fae22ab055
size 2104931424

3
SmallThinker-3B-Preview-Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0453290683c9a2af1c9bd25af5bb131c1bc549f71a3469a2a14c04c9cd01896b
size 2009412704

3
SmallThinker-3B-Preview-Q5_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8d3263467bc29a5dd310bea4e67aca03c162559d58725da0c66572e85366f8fd
size 2630786144

3
SmallThinker-3B-Preview-Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:be662a2a8cd4fc0a1b27b0a8efd2ce0d6693dda7f360eab7e8b8ad7de3a5bdd4
size 2438739040

3
SmallThinker-3B-Preview-Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ae821f2cb5c64a81bb599f2fc61089d3cde2739e5c4b64a4f2254a1fa5746f6a
size 2383590496

3
SmallThinker-3B-Preview-Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fd27adc687f2714366b59cd1d236d5593612616fa116a0fd5276a8d4af0ea4d8
size 2793409632

3
SmallThinker-3B-Preview-Q6_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:87b0b7187571e8b06cf4579c1af0483e30e26e5d49148cc6a5f9e6db24cbbb4d
size 2944130144

3
SmallThinker-3B-Preview-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:76d2ddd565ea734ac1e4079f858918faade98122ab7e16eecf588bb176a0ea36
size 3616087136

3
SmallThinker-3B-Preview-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:779e0aecddea57992523092c879ae279e29256891327db0a7e87d06d2603c7d7
size 6800645216

3
SmallThinker-3B-Preview-f32.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2e3389a68b1c7dd610a1c60e257750bb2e550c9cf8bc38dfd72752f5dfdcca6f
size 13594368832

3
SmallThinker-3B-Preview.imatrix Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f8f0c4fcee13daf4689d5a6f1fbeb521a37b94a68d260fa37e40be2107149f60
size 3362990

1
configuration.json Normal file
View File

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