mradermacher/KernelGen-LM-4B-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: mradermacher/KernelGen-LM-4B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-04-10 11:41:58 +08:00
commit b4eb158484
14 changed files with 154 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

47
.gitattributes vendored Normal file
View File

@@ -0,0 +1,47 @@
*.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
KernelGen-LM-4B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-4B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
KernelGen-LM-4B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:59cf227186b80c44b623d6d69bd4bc41208d3fd6d393a6f27aa89d8b3fe9f0d2
size 2286316352

3
KernelGen-LM-4B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:362633beaa90b3ccc785311a9fc128e68f60291eae6feb479bff78fec41eb14b
size 1669499712

3
KernelGen-LM-4B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9ccbe1f1984931a20042376b17c0bbbd71fee24fd1b4af439a1765785eb9e70b
size 2239785792

3
KernelGen-LM-4B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8cae4f2334b7ceebae0d057e3e37bceeec91e42fc78b195cc9e86d6f7e60b035
size 2075618112

3
KernelGen-LM-4B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:52226226457fdec7ff690511e28f0fe43163b8a3f6c83ae17a59e30247fe6ef8
size 1886997312

3
KernelGen-LM-4B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4b7c006f6284e345f28dc352f5cf73021f2f15748299036aeb15fdc31f328f77
size 2497280832

3
KernelGen-LM-4B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2f87fb2236cdcc5cf7685d38d6e940ec6ea980793c3c04880a39ba0d4b85d3e8
size 2383309632

3
KernelGen-LM-4B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3a074401fce4418f0755ba608835a37baa2dfae312c5e65f8791b78bdac82cb6
size 2889513792

3
KernelGen-LM-4B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:873283647b4cef911e7c1643ebb217a7468d155ad03bcbde831ccbd553120805
size 2823711552

3
KernelGen-LM-4B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:307995a020da6f477f1311fdf72ffedaff2fb8ad18db465da7b147fd2f5159b7
size 3306261312

3
KernelGen-LM-4B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:651b2dbfd052a188f856809b880f5aba81c8153ba96ee3c2fc2c87f54beb7575
size 4280405312

3
KernelGen-LM-4B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fc9fbe56dc115fe16172c031eb57014db9606f9fac6734b7d0222300b57fb8f0
size 8051285312

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: AscendKernelGen/KernelGen-LM-4B
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static quants of https://huggingface.co/AscendKernelGen/KernelGen-LM-4B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#KernelGen-LM-4B-GGUF).***
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q2_K.gguf) | Q2_K | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q3_K_S.gguf) | Q3_K_S | 2.0 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q3_K_L.gguf) | Q3_K_L | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.IQ4_XS.gguf) | IQ4_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q5_K_S.gguf) | Q5_K_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q5_K_M.gguf) | Q5_K_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q6_K.gguf) | Q6_K | 3.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.Q8_0.gguf) | Q8_0 | 4.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-4B-GGUF/resolve/main/KernelGen-LM-4B.f16.gguf) | f16 | 8.2 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->