bartowski/Rombos-Coder-V2.5-Qwen-14b-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/Rombos-Coder-V2.5-Qwen-14b-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-19 18:18:05 +08:00
commit f813566356
30 changed files with 279 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

62
.gitattributes vendored Normal file
View File

@@ -0,0 +1,62 @@
*.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
Rombos-Coder-V2.5-Qwen-14b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q6_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q5_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q4_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q4_0_8_8.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q4_0_4_8.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q4_0_4_4.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q3_K_XL.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q2_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b-f16.gguf filter=lfs diff=lfs merge=lfs -text
Rombos-Coder-V2.5-Qwen-14b.imatrix filter=lfs diff=lfs merge=lfs -text

135
README.md Normal file
View File

@@ -0,0 +1,135 @@
---
quantized_by: bartowski
pipeline_tag: text-generation
language:
- en
license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-14B/blob/main/LICENSE
tags:
- code
- qwen
- qwen-coder
- codeqwen
base_model: rombodawg/Rombos-Coder-V2.5-Qwen-14b
license: apache-2.0
---
## Llamacpp imatrix Quantizations of Rombos-Coder-V2.5-Qwen-14b
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4058">b4058</a> for quantization.
Original model: https://huggingface.co/rombodawg/Rombos-Coder-V2.5-Qwen-14b
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 |
| -------- | ---------- | --------- | ----- | ----------- |
| [Rombos-Coder-V2.5-Qwen-14b-f16.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-f16.gguf) | f16 | 29.55GB | false | Full F16 weights. |
| [Rombos-Coder-V2.5-Qwen-14b-Q8_0.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q8_0.gguf) | Q8_0 | 15.70GB | false | Extremely high quality, generally unneeded but max available quant. |
| [Rombos-Coder-V2.5-Qwen-14b-Q6_K_L.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q6_K_L.gguf) | Q6_K_L | 12.50GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q6_K.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q6_K.gguf) | Q6_K | 12.12GB | false | Very high quality, near perfect, *recommended*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q5_K_L.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q5_K_L.gguf) | Q5_K_L | 10.99GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q5_K_M.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q5_K_M.gguf) | Q5_K_M | 10.51GB | false | High quality, *recommended*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q5_K_S.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q5_K_S.gguf) | Q5_K_S | 10.27GB | false | High quality, *recommended*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q4_K_L.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q4_K_L.gguf) | Q4_K_L | 9.57GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q4_K_M.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q4_K_M.gguf) | Q4_K_M | 8.99GB | false | Good quality, default size for most use cases, *recommended*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q3_K_XL.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q3_K_XL.gguf) | Q3_K_XL | 8.61GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
| [Rombos-Coder-V2.5-Qwen-14b-Q4_K_S.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q4_K_S.gguf) | Q4_K_S | 8.57GB | false | Slightly lower quality with more space savings, *recommended*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q4_0.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q4_0.gguf) | Q4_0 | 8.54GB | false | Legacy format, generally not worth using over similarly sized formats |
| [Rombos-Coder-V2.5-Qwen-14b-Q4_0_8_8.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q4_0_8_8.gguf) | Q4_0_8_8 | 8.52GB | false | Optimized for ARM inference. Requires 'sve' support (see link below). *Don't use on Mac or Windows*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q4_0_4_8.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q4_0_4_8.gguf) | Q4_0_4_8 | 8.52GB | false | Optimized for ARM inference. Requires 'i8mm' support (see link below). *Don't use on Mac or Windows*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q4_0_4_4.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q4_0_4_4.gguf) | Q4_0_4_4 | 8.52GB | false | Optimized for ARM inference. Should work well on all ARM chips, pick this if you're unsure. *Don't use on Mac or Windows*. |
| [Rombos-Coder-V2.5-Qwen-14b-IQ4_XS.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-IQ4_XS.gguf) | IQ4_XS | 8.12GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
| [Rombos-Coder-V2.5-Qwen-14b-Q3_K_L.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q3_K_L.gguf) | Q3_K_L | 7.92GB | false | Lower quality but usable, good for low RAM availability. |
| [Rombos-Coder-V2.5-Qwen-14b-Q3_K_M.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q3_K_M.gguf) | Q3_K_M | 7.34GB | false | Low quality. |
| [Rombos-Coder-V2.5-Qwen-14b-IQ3_M.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-IQ3_M.gguf) | IQ3_M | 6.92GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
| [Rombos-Coder-V2.5-Qwen-14b-Q3_K_S.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q3_K_S.gguf) | Q3_K_S | 6.66GB | false | Low quality, not recommended. |
| [Rombos-Coder-V2.5-Qwen-14b-Q2_K_L.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q2_K_L.gguf) | Q2_K_L | 6.53GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
| [Rombos-Coder-V2.5-Qwen-14b-IQ3_XS.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-IQ3_XS.gguf) | IQ3_XS | 6.38GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
| [Rombos-Coder-V2.5-Qwen-14b-Q2_K.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-Q2_K.gguf) | Q2_K | 5.77GB | false | Very low quality but surprisingly usable. |
| [Rombos-Coder-V2.5-Qwen-14b-IQ2_M.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-IQ2_M.gguf) | IQ2_M | 5.36GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
| [Rombos-Coder-V2.5-Qwen-14b-IQ2_S.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-IQ2_S.gguf) | IQ2_S | 5.00GB | false | Low quality, uses SOTA techniques to be usable. |
| [Rombos-Coder-V2.5-Qwen-14b-IQ2_XS.gguf](https://huggingface.co/bartowski/Rombos-Coder-V2.5-Qwen-14b-GGUF/blob/main/Rombos-Coder-V2.5-Qwen-14b-IQ2_XS.gguf) | IQ2_XS | 4.70GB | 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.
Some say that this improves the quality, others don't notice any difference. If you use these models PLEASE COMMENT with your findings. I would like feedback that these are actually used and useful so I don't keep uploading quants no one is using.
Thanks!
## Downloading using huggingface-cli
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/Rombos-Coder-V2.5-Qwen-14b-GGUF --include "Rombos-Coder-V2.5-Qwen-14b-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/Rombos-Coder-V2.5-Qwen-14b-GGUF --include "Rombos-Coder-V2.5-Qwen-14b-Q8_0/*" --local-dir ./
```
You can either specify a new local-dir (Rombos-Coder-V2.5-Qwen-14b-Q8_0) or download them all in place (./)
## Q4_0_X_X
These are *NOT* for Metal (Apple) offloading, only ARM chips.
If you're using an ARM chip, the Q4_0_X_X quants will have a substantial speedup. Check out Q4_0_4_4 speed comparisons [on the original pull request](https://github.com/ggerganov/llama.cpp/pull/5780#pullrequestreview-21657544660)
To check which one would work best for your ARM chip, you can check [AArch64 SoC features](https://gpages.juszkiewicz.com.pl/arm-socs-table/arm-socs.html) (thanks EloyOn!).
## Which file should I choose?
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.
## 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
Rombos-Coder-V2.5-Qwen-14b-IQ2_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a6eca8554599336bb5b7ed9e84e17ba8a4cc228cd4f072b1ce10d80053929f28
size 5356146880

3
Rombos-Coder-V2.5-Qwen-14b-IQ2_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6a953405fb70aabec17d6b21c8633fca7b232d080300fdecaf4b1d74bea27e69
size 5003727040

3
Rombos-Coder-V2.5-Qwen-14b-IQ2_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bdb8605225c59b3bcc2d425c58bc987d3053255af9821472d38bdc1cbeb45c3f
size 4704575680

3
Rombos-Coder-V2.5-Qwen-14b-IQ3_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:16a655c3e79c7c47e29fd469b1531cd14c75fe4febdbbee21ab4874828256518
size 6916538560

3
Rombos-Coder-V2.5-Qwen-14b-IQ3_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4e59dfaee3bd681dd8ee54ba2d337f1df94f163fc05b695612a9d2c981eeacc8
size 6383362240

3
Rombos-Coder-V2.5-Qwen-14b-IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:91cf41e7decd57b202d4bfbfdd381836a4fd206aa5f7d19dfe2cc1b19bcb1166
size 8119840960

3
Rombos-Coder-V2.5-Qwen-14b-Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4de203e1f0232749bc9f225434dacaf45a8f78b78b0d3093dd31d3c41f7a175d
size 5770498240

3
Rombos-Coder-V2.5-Qwen-14b-Q2_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5f745245384563fced87caad957eca4a098f1c5866d4820f3df4d927c52079e2
size 6530818240

3
Rombos-Coder-V2.5-Qwen-14b-Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e6c3939c3fd5a4e7005c8850f2b27a05c98c92b8228bf9f67f587949e03af1e3
size 7924768960

3
Rombos-Coder-V2.5-Qwen-14b-Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:15169502f667a000b5d2fd456d699a030caa60b9bbf6a28514693e7ffb97097a
size 7339204800

3
Rombos-Coder-V2.5-Qwen-14b-Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3612aafb7655d0bf2bdd0091bd3f1b990b0a46374cb28b2f08721b3584b88dcd
size 6659596480

3
Rombos-Coder-V2.5-Qwen-14b-Q3_K_XL.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3601a725f06ce3c63478ce7f579a5efcc039bf1b27a51878740a081be250ecd8
size 8606015680

3
Rombos-Coder-V2.5-Qwen-14b-Q4_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:978a4ca8de973c9ab667376a5acc0faff9828ec97e928545165a39514aa849db
size 8544268480

3
Rombos-Coder-V2.5-Qwen-14b-Q4_0_4_4.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8935be11fbda75ac843bbcc5db13b8e13cee75d22d3ec8fcfd4a1149cd22a02b
size 8517726400

3
Rombos-Coder-V2.5-Qwen-14b-Q4_0_4_8.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5204ffbce698fc98dd5e36489bc6ec3c4fb33dd2f69e14ed2219544d78836438
size 8517726400

3
Rombos-Coder-V2.5-Qwen-14b-Q4_0_8_8.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dc5dbf187fe2f704b9da6308ffc6e9d88cafd2a06de711b94d88823e3c731a5b
size 8517726400

3
Rombos-Coder-V2.5-Qwen-14b-Q4_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9ae5a38c7ba217e8bfe3ecdf391ef70738db30ada1ebd001aac39385e1030b44
size 9565954240

3
Rombos-Coder-V2.5-Qwen-14b-Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7ef044e1fee206a039f56538f94332030e99ec63915c74f4d1bdec0e601ee968
size 8988111040

3
Rombos-Coder-V2.5-Qwen-14b-Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7caf5b964dff93201dc04e0a8c743a401f23720a8528db3f0e1bf38cd2ebd6d3
size 8573432000

3
Rombos-Coder-V2.5-Qwen-14b-Q5_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2069893c3cde72ff402cb509707553e9731aaaa5fa8854bb923f5e8a1b0b895b
size 10989396160

3
Rombos-Coder-V2.5-Qwen-14b-Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b92a598715c30d4323728ce12ef24bd573f4cfdb57def67a1b18fc702b29ea4a
size 10508873920

3
Rombos-Coder-V2.5-Qwen-14b-Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:db1fab3322b2f167c60e82bd73b8931bf36cef7830d9f0b35772a923150fde5e
size 10266554560

3
Rombos-Coder-V2.5-Qwen-14b-Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8b0e7b72a8f22c772d0b75b1d34e3397bf85770a29c559546f944433f9a9ae75
size 12124684480

3
Rombos-Coder-V2.5-Qwen-14b-Q6_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:716ee645b719d72f63e80ec81abeeacabb94c7b7b3c21742e6954b5d31cbb8b6
size 12501803200

3
Rombos-Coder-V2.5-Qwen-14b-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0272f39c8eb13b6cdd68d43ff3ca6040b2d54cb5711ee31857fa121db18f7e60
size 15701598400

3
Rombos-Coder-V2.5-Qwen-14b-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:301998de82f6e7a878a9341e28f023c3d0d58407641290db0bbea2f03fb5f4ac
size 29547716512

3
Rombos-Coder-V2.5-Qwen-14b.imatrix Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f1a6955e0382c0423bc2b538fd614f923bc69739e8983dd1d0202f639ce1d6a2
size 8563610

1
configuration.json Normal file
View File

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