初始化项目,由ModelHub XC社区提供模型

Model: mradermacher/TinyLlama-1.1B-ProXMath-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-25 10:43:15 +08:00
commit ee799b8fbb
14 changed files with 149 additions and 0 deletions

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
TinyLlama-1.1B-ProXMath.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
TinyLlama-1.1B-ProXMath.f16.gguf filter=lfs diff=lfs merge=lfs -text

66
README.md Normal file
View File

@@ -0,0 +1,66 @@
---
base_model: gair-prox/TinyLlama-1.1B-ProXMath
datasets:
- gair-prox/open-web-math-pro
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/gair-prox/TinyLlama-1.1B-ProXMath
<!-- 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/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q2_K.gguf) | Q2_K | 0.5 | |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q3_K_S.gguf) | Q3_K_S | 0.6 | |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q3_K_M.gguf) | Q3_K_M | 0.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q3_K_L.gguf) | Q3_K_L | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.IQ4_XS.gguf) | IQ4_XS | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q4_K_S.gguf) | Q4_K_S | 0.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q4_K_M.gguf) | Q4_K_M | 0.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q5_K_S.gguf) | Q5_K_S | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q5_K_M.gguf) | Q5_K_M | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q6_K.gguf) | Q6_K | 1.0 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.Q8_0.gguf) | Q8_0 | 1.3 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/TinyLlama-1.1B-ProXMath-GGUF/resolve/main/TinyLlama-1.1B-ProXMath.f16.gguf) | f16 | 2.3 | 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 -->

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6da0246e23bfdc1f1db4e84b2655b4d3d59811ca7458b6c821425d2d051fc89c
size 609808288

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a8e63c352069b326de7ba1242cc81438bff7296831bc107fce7e8d1cfb0520a9
size 432132000

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d55c1da8641365e603e6d52a2983375ab4fc5be8a763ca718de6b20b2c12cad1
size 591527840

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:72fde9276c098fe6351e6bd65f4a8d5612d4deaf1bede332b295f115423032f6
size 548405152

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2679df24ae193c488fc69398160675d69ed4fa3cb41f9ff0f92367881511b8d2
size 499343264

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3e82f26d9d829ee0310de6b28a58a7a2a82b15d375908b788108975791b8ced1
size 667815840

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6331bf91087d36cd4b957d633e11ea5ba618f58be638f1843eec02b5272de5a0
size 639872928

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6d3ca079501122aa5fbe61332fe7f73731a0d36b3980c5f20f9716e554798c81
size 782045088

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:82ad0885fa005adf212a9f64904c6bf956cb5f365424fa4b31a38aa58ca764c4
size 766029728

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f832581c4378237bc5dab8dab6cd02d9f274c061d4a9a287cb8f938a1df29677
size 903413664

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:503385b9fa448aab58d345cc5bb11072b8023054571b49f07e7e106e962bd071
size 1169809312

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9d30c29095967c24470e84a5e393293502fc148c6776ebf746eb72f8e27217a6
size 2201018272