mradermacher/GAINRL-Qwen2.5-7B-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/GAINRL-Qwen2.5-7B-Instruct-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-06 04:44:16 +08:00
commit 5e237dca60
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
GAINRL-Qwen2.5-7B-Instruct.f16.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GAINRL-Qwen2.5-7B-Instruct.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
GAINRL-Qwen2.5-7B-Instruct.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0b1236498b160e9a109ef71b73b846f7f36757d897bcae8052fe4195e20e881c
size 4250298784

3
GAINRL-Qwen2.5-7B-Instruct.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:32e38e4f95e0a403cc09315fb893d5151b89e0f99e7eccec46f491910d182c7e
size 3015940512

3
GAINRL-Qwen2.5-7B-Instruct.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e8a1131cf88b5e8ef148b0a89c1c86edb2395d65df3c557f8a1b560104e7840d
size 4088459680

3
GAINRL-Qwen2.5-7B-Instruct.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:95905151a300a314751a901df534503a9ad2a91f51b26d33ba93e3617d91001a
size 3808391584

3
GAINRL-Qwen2.5-7B-Instruct.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ed76114b1a18a2b1e91b43b4eef3af81a4b4daf2ce29c061a24f7aa3b0a681a6
size 3492368800

3
GAINRL-Qwen2.5-7B-Instruct.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:077f723dc3f684dc03800c94b95baf26ea394b8f795f56ef4ea000247cb30eee
size 4683073952

3
GAINRL-Qwen2.5-7B-Instruct.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b653cf43c943b2d180474dc7d1384a4c05e9e914df43c8787d17b8c3f5238f4a
size 4457769376

3
GAINRL-Qwen2.5-7B-Instruct.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:451d161dd8c6be32a5e9b70349d15b676ecdf220fb40f5710da7f51ace1f6aec
size 5444831648

3
GAINRL-Qwen2.5-7B-Instruct.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:22ac3367b36f746eeabf8989809debb73fbbc5e661204f0a14dbe0487bec118b
size 5315176864

3
GAINRL-Qwen2.5-7B-Instruct.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:183215f940bbd0d0af580b2de04992a80e0b516b4e2a8a92a9a45823037a5584
size 6254199200

3
GAINRL-Qwen2.5-7B-Instruct.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:63d7bc07b18bff28fd0a374555f86bde9536a0efce2df68574f7c392e656d36c
size 8098525600

3
GAINRL-Qwen2.5-7B-Instruct.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0300bf1bd93d3ccbbaf8bdb5c5c38e0e7765e7ce5bbb5e88a1fc2a9de915e967
size 15237853600

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: Qinsi1/GAINRL-Qwen2.5-7B-Instruct
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/Qinsi1/GAINRL-Qwen2.5-7B-Instruct
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#GAINRL-Qwen2.5-7B-Instruct-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-i1-GGUF
## 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/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-Instruct.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/GAINRL-Qwen2.5-7B-Instruct-GGUF/resolve/main/GAINRL-Qwen2.5-7B-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 -->