mradermacher/Qwen-1.5B_THIP-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/Qwen-1.5B_THIP-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-08-06 05:33:16 +08:00
commit 3ec60c8b0c
14 changed files with 161 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
Qwen-1.5B_THIP.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Qwen-1.5B_THIP.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Qwen-1.5B_THIP.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e963d9cd2a1906c8bbd1dd5385fc1afcb3639a9e9b5e7634a778d998e1d25153
size 902183136

3
Qwen-1.5B_THIP.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8b3ff7d2fb1d1ed38cd2a7635e425b530ba0034674f4a551bc092958187d3739
size 676305120

3
Qwen-1.5B_THIP.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6970b3a84276b8a56f4f94771f6bde871ee9d042bdd1f56140e2516c738b4029
size 880163040

3
Qwen-1.5B_THIP.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4d6a2f536bebd8365f2b8fd4d1f3a5270dc7b81e285cc9f53a58cc51f0284137
size 824178912

3
Qwen-1.5B_THIP.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:72e369293d51de6091e6165935f6903a17d5001bcadd3b0df1dfc1be5395782a
size 760944864

3
Qwen-1.5B_THIP.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ec1c806946676ccb654180045d9818bfd38a69a83eb7f601dd88fb44c649d00c
size 986048736

3
Qwen-1.5B_THIP.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:baa4cf9121a7736af2491840a1376bba0d1e63e747181dae407e6e09d6445331
size 940312800

3
Qwen-1.5B_THIP.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0df4eb850192de69a0ef90259224907c3f5e93476a8959f4aa8223f63242997a
size 1125050592

3
Qwen-1.5B_THIP.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2df7daa8a39d4ae9c1fcaca38ab9663ab5c3fd935207aa361514ebc52ee0287d
size 1098729696

3
Qwen-1.5B_THIP.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b4b3255fae8cf65e2c6ec8b32bcda25019214b00cb78d88e34c709edd807db6f
size 1272740064

3
Qwen-1.5B_THIP.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6ab1bf57dde4a0509cf3369f3534db2ff6e3454c3013cd61875efae1cf953eeb
size 1646573280

3
Qwen-1.5B_THIP.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d139d00f54782484fcb6a510d5548ecd38dcf241f29813dbcdf9e613fe2c1321
size 3093669600

78
README.md Normal file
View File

@@ -0,0 +1,78 @@
---
base_model: Thrillcrazyer/Qwen-1.5B_THIP
datasets: DeepMath-103k
language:
- en
library_name: transformers
license: apache-2.0
model_name: Qwen-1.5B_THIP
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- generated_from_trainer
- trl
- grpo
---
## 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/Thrillcrazyer/Qwen-1.5B_THIP
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen-1.5B_THIP-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/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q2_K.gguf) | Q2_K | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q3_K_S.gguf) | Q3_K_S | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q3_K_L.gguf) | Q3_K_L | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.IQ4_XS.gguf) | IQ4_XS | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q5_K_S.gguf) | Q5_K_S | 1.2 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q5_K_M.gguf) | Q5_K_M | 1.2 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q6_K.gguf) | Q6_K | 1.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen-1.5B_THIP-GGUF/resolve/main/Qwen-1.5B_THIP.f16.gguf) | f16 | 3.2 | 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 -->