mradermacher/KernelGen-LM-8B-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-8B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-03 10:06:17 +08:00
commit 7482333e37
14 changed files with 162 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-8B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.f16.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KernelGen-LM-8B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
KernelGen-LM-8B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e189b991a207b86164582f0497e9e7a0019e2d55a7ee92b0ac41f7f7f31c18bd
size 4593296768

3
KernelGen-LM-8B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9c9551fb9ff421866b5a37fa9c08951544118d84d2d2d84295162331e9c530f8
size 3281732992

3
KernelGen-LM-8B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bfc977248f3afa556d8c11b57a0107539e6e17a27c7559549249062fcba26df9
size 4431394176

3
KernelGen-LM-8B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:48cb589579daa06db82a7e539223876f8bcbb8b2453830ceacd2ecf37c50a892
size 4124161408

3
KernelGen-LM-8B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:668c0fab4c2dd2f30830914337775e2b996a3cd3fb3f38de842ac58b9471d5f1
size 3769611648

3
KernelGen-LM-8B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:de955f04e4a5d7ed60f150f60b007168c21ed9801c1c41a8ec7fd954b1571e5e
size 5027784064

3
KernelGen-LM-8B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b1226d9d93fc59ba496e84100970604b959ab6a08963a244f830cf642e10ac72
size 4802012544

3
KernelGen-LM-8B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0a7035fb00da3e184bfe50450a8afc5ed3c0b290bee21a827c4123149790c02b
size 5851112832

3
KernelGen-LM-8B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:342d5107202274015670f42e81d1c1cbf89358e1d43b04dc5a8e834e1f7b6c83
size 5720761728

3
KernelGen-LM-8B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cd26dec3725ed76bfbf1057d97948f46866c4400df23d23d129f50bfbcd2f43b
size 6725899648

3
KernelGen-LM-8B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:49910d650606e9d7b7a313a7567b01bec140facb817b8280155c32ac8bec929f
size 8709518720

3
KernelGen-LM-8B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:178eb2fb63ede0586ebfe53bac6b2ddb65c77018f239d4cb2cbedcdbf297d7a5
size 16388044160

79
README.md Normal file
View File

@@ -0,0 +1,79 @@
---
base_model: AscendKernelGen/KernelGen-LM-8B
datasets:
- AscendKernelGen/Ascend-COT-v2-packed
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- code-generation
- npu
- ascend
- chain-of-thought
---
## 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-8B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#KernelGen-LM-8B-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-8B-GGUF/resolve/main/KernelGen-LM-8B.Q2_K.gguf) | Q2_K | 3.4 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.Q3_K_S.gguf) | Q3_K_S | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.Q3_K_L.gguf) | Q3_K_L | 4.5 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.IQ4_XS.gguf) | IQ4_XS | 4.7 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.Q4_K_M.gguf) | Q4_K_M | 5.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.Q5_K_S.gguf) | Q5_K_S | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.Q5_K_M.gguf) | Q5_K_M | 6.0 | |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.Q6_K.gguf) | Q6_K | 6.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.Q8_0.gguf) | Q8_0 | 8.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/KernelGen-LM-8B-GGUF/resolve/main/KernelGen-LM-8B.f16.gguf) | f16 | 16.5 | 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 -->