mradermacher/ALP_R1_Qwen1.5B-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/ALP_R1_Qwen1.5B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-25 19:34:16 +08:00
commit e1b2254816
14 changed files with 160 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
ALP_R1_Qwen1.5B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
ALP_R1_Qwen1.5B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
ALP_R1_Qwen1.5B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ba901e03334d4c3d68f45ec83ad828dea696f664f28daf3eb42f70671bb95d0f
size 1026162848

3
ALP_R1_Qwen1.5B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b29c0513b810883be855c165b278b50f29e6e929cf5f73953841c78109fa5251
size 752880800

3
ALP_R1_Qwen1.5B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8593d0a8e38e65653f4d5bb36dbadacf42a2acba465091c05bc39ffdc765306c
size 980440736

3
ALP_R1_Qwen1.5B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1a002f96f08fe9036723dcaf00f9ecedeb0a8f8b2b4032cc3635968b9ded1576
size 924456608

3
ALP_R1_Qwen1.5B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:66e67c84e6c7807d2c47e3b47b711c7c7087a4b0c72eb5433c3af8a4aeb70221
size 861222560

3
ALP_R1_Qwen1.5B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0e9929bd7c10e6c1b79b6d074494a76cc4f73a446e253bec6f6f8ca76d1c608c
size 1117321376

3
ALP_R1_Qwen1.5B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9470d9afa34a149b312511cae6698d41da2f18e8427370f8412eb69b19bb15ad
size 1071585440

3
ALP_R1_Qwen1.5B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:740d5b1445523ce22218e4866b798867376270531c710c30f4701c515f82ff65
size 1285494944

3
ALP_R1_Qwen1.5B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:74ee698ff41a4fac0946d90554f7d5a1d2c8f60d9a90341cec067ec984765ec0
size 1259174048

3
ALP_R1_Qwen1.5B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c15b46ad811aefaad7daa55983abc02314baf4e51b66f603ade4bae782800feb
size 1464179360

3
ALP_R1_Qwen1.5B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ce15a48df83c252401050909f3454b3f1c365808df82a263a58a16a978057b6f
size 1894532768

3
ALP_R1_Qwen1.5B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d25e073b4ed84f487c0d6f7317c6c4be981574c32bf6a4efe325f153966b6749
size 3560416928

77
README.md Normal file
View File

@@ -0,0 +1,77 @@
---
base_model: SynthLabsAI/ALP_R1_Qwen1.5B
datasets:
- AIME
- AMC
- Omni-Math
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- reasoning
- mathematics
- reinforcement-learning
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/SynthLabsAI/ALP_R1_Qwen1.5B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#ALP_R1_Qwen1.5B-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/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q2_K.gguf) | Q2_K | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q3_K_S.gguf) | Q3_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q3_K_M.gguf) | Q3_K_M | 1.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q3_K_L.gguf) | Q3_K_L | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.IQ4_XS.gguf) | IQ4_XS | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q4_K_S.gguf) | Q4_K_S | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q4_K_M.gguf) | Q4_K_M | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q5_K_S.gguf) | Q5_K_S | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q5_K_M.gguf) | Q5_K_M | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q6_K.gguf) | Q6_K | 1.6 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.Q8_0.gguf) | Q8_0 | 2.0 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/ALP_R1_Qwen1.5B-GGUF/resolve/main/ALP_R1_Qwen1.5B.f16.gguf) | f16 | 3.7 | 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 -->