mradermacher/BianCang-Qwen2-7B-Instruct-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/BianCang-Qwen2-7B-Instruct-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-15 17:14:16 +08:00
commit a14a402220
14 changed files with 146 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
BianCang-Qwen2-7B-Instruct.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.f16.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
BianCang-Qwen2-7B-Instruct.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
BianCang-Qwen2-7B-Instruct.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:32462c96f4e277fc3dbb97fcb0c80864b4eb3b4f28c59fdea69976551badbc46
size 4250296480

3
BianCang-Qwen2-7B-Instruct.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bbc9a37b5d36a60fd6ca961b584a6d70bdefd254e83240f633f658b71af0486b
size 3015938208

3
BianCang-Qwen2-7B-Instruct.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:606062afdaa33d4514b5440b7c8a8d37f8ddc0eb38284d98decd6f7fb7cee438
size 4088457376

3
BianCang-Qwen2-7B-Instruct.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d5b7c0f8a01188a9d9bd3e1337f8ac519329b19bbf0e6e07598c1fc40c2995fb
size 3808389280

3
BianCang-Qwen2-7B-Instruct.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:74b508e59566b66f54c2d50c61e6b25e6b7f98bb88d9c240944b19a2a7355fa0
size 3492366496

3
BianCang-Qwen2-7B-Instruct.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f06844a6d8620abfeb609fd08025aee5de44b47696029b694cd520717cfbe57c
size 4683071648

3
BianCang-Qwen2-7B-Instruct.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:95d534225e753e115ca9d4ff4ba975a50be095771d89d9bcaf7d58f334bc0d36
size 4457767072

3
BianCang-Qwen2-7B-Instruct.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:057977c6c3c561b33e6610aa990638c460a0d782ceea86ece3bd5800a8bdf9ab
size 5444829344

3
BianCang-Qwen2-7B-Instruct.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:652719d435933d7676ff0127a99a30a2fcc1a38d48b8aedb63347ae66a3b588e
size 5315174560

3
BianCang-Qwen2-7B-Instruct.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ab1f2f903b53ba71599be012c26ddc23045638f7ff4ec5293435b195061b05a2
size 6254196896

3
BianCang-Qwen2-7B-Instruct.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:03550383f255caa635764b61f7f33a711b32d491ec68454defa009411bf52980
size 8098523296

3
BianCang-Qwen2-7B-Instruct.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f6f976446b31d0912b16523569dc50eee11121c049b5656729abeedad675ddfb
size 15237851296

63
README.md Normal file
View File

@@ -0,0 +1,63 @@
---
base_model: QLU-NLP/BianCang-Qwen2-7B-Instruct
language:
- en
library_name: transformers
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/QLU-NLP/BianCang-Qwen2-7B-Instruct
<!-- provided-files -->
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/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/BianCang-Qwen2-7B-Instruct-GGUF/resolve/main/BianCang-Qwen2-7B-Instruct.f16.gguf) | f16 | 15.3 | 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 -->