mradermacher/C1-SFT-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/C1-SFT-4B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-26 16:31:17 +08:00
commit 854059c52e
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
C1-SFT-4B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
C1-SFT-4B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
C1-SFT-4B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:59d9fd74ed5aecfc408f5cdc863370236484b5ba987ec8a8ea7a32b1b40e268a
size 2492949216

3
C1-SFT-4B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:09ad404da5675101320c7cf3e79103df4ba0573704f73857d7d43b1a04e2887c
size 1797125856

3
C1-SFT-4B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f5cd3781e593840f9b0c035ea75c41b5e02a3f9ebc2742c0bae9dbb4a3808e0b
size 2406915296

3
C1-SFT-4B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:38076e322d0641b92e0bace5b819bc26b35dc7bb2de562d039f78952cd71373c
size 2242747616

3
C1-SFT-4B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:11631f1ad5c65b669fc56d4e14acee592e498417aeb58d4a0b20fe796a018097
size 2054126816

3
C1-SFT-4B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a8bf299dd32ce3af4ea9309638027ee87d1366cb68a4fbc01a44c663b73a17f2
size 2716068576

3
C1-SFT-4B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9bcfe8f8e8c17200c46397701b1beff66d0a2823a673d0f60250978ec75bf054
size 2602097376

3
C1-SFT-4B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1fefeaf9c18c5b189934356e47fa8838960984deb2226426aefb04682f86d518
size 3156921056

3
C1-SFT-4B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:714b6e1bb5240ca659f12953ad40340895d41ecadacc2a5adffb7428bfc11f9b
size 3091118816

3
C1-SFT-4B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:79606e73d0a26839b1154cd7b922678bab48db5f88922242c3b13c52241d05d5
size 3625326816

3
C1-SFT-4B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:71b06b9eb419dd810ac90f722316f3b5db085e1caab00dcaeb4ea9981156df8d
size 4693671136

3
C1-SFT-4B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2ecb7eec9ef78ab4896ecaf720db4f3d9d53ac18b1fad07261c353ce14ec1edd
size 8829197536

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: difanjiao/C1-SFT-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/difanjiao/C1-SFT-4B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#C1-SFT-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/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q2_K.gguf) | Q2_K | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q3_K_S.gguf) | Q3_K_S | 2.2 | |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q3_K_M.gguf) | Q3_K_M | 2.3 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q3_K_L.gguf) | Q3_K_L | 2.5 | |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.IQ4_XS.gguf) | IQ4_XS | 2.6 | |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q4_K_S.gguf) | Q4_K_S | 2.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q4_K_M.gguf) | Q4_K_M | 2.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q5_K_S.gguf) | Q5_K_S | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q5_K_M.gguf) | Q5_K_M | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q6_K.gguf) | Q6_K | 3.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.Q8_0.gguf) | Q8_0 | 4.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/C1-SFT-4B-GGUF/resolve/main/C1-SFT-4B.f16.gguf) | f16 | 8.9 | 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 -->