mradermacher/FastCuRL-1.5B-V3-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/FastCuRL-1.5B-V3-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-08 13:42:54 +08:00
commit c02f65dd81
14 changed files with 147 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
FastCuRL-1.5B-V3.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
FastCuRL-1.5B-V3.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
FastCuRL-1.5B-V3.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:de535fa241dd9a6231450d93b2828a0e1149675ba0ddd6fb1ee0f4408f35bf44
size 1026162880

3
FastCuRL-1.5B-V3.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dc682b4f9715a28a456aabaa8e86c033f52d555d2713cd3c71c97013cf35b06e
size 752880832

3
FastCuRL-1.5B-V3.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b56e95caeae37b4136fe335e8ba4486542958efbec8eda2861f3c2585fb2df49
size 980440768

3
FastCuRL-1.5B-V3.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:aa35723ba9619fba248ad77d3cebbc743201e8d042aa1d5fddc984c16b783824
size 924456640

3
FastCuRL-1.5B-V3.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c13c1763fd8881d7b0ede8edb147d48652eef16df5b64909dac85578d96f7db6
size 861222592

3
FastCuRL-1.5B-V3.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:746e6a2cbb7ccd841019ee0cf56fbdeacb473b6a18cab0f4af2748077cd0da5b
size 1117321408

3
FastCuRL-1.5B-V3.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:877034b727cd756c14040d69ffba7603ebb7b35218b48a5b62455690d906efa5
size 1071585472

3
FastCuRL-1.5B-V3.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:088e6be0fb661c15c3038f211867e75d9dfd5ba1a9b779c8c1991e8219a05edc
size 1285494976

3
FastCuRL-1.5B-V3.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:96fd1e74ef693a5ccbf9b3a09ce9e8f8fd4be61bc6b26f0878bcfe7c3427de87
size 1259174080

3
FastCuRL-1.5B-V3.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6216033bc85d4ccbdb5b1223d275a44613377664308900ef238794e3907922eb
size 1464179392

3
FastCuRL-1.5B-V3.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ef836ce921ffd6db38d5455a3c4c6feeb3137c652c90c08a31360c7819e29d24
size 1894532800

3
FastCuRL-1.5B-V3.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b9fd72bef008f4797b02dfc80b83d7e868d8aa2c2dd601d27cd915b09614bd68
size 3560416960

64
README.md Normal file
View File

@@ -0,0 +1,64 @@
---
base_model: Nickyang/FastCuRL-1.5B-V3
language:
- en
library_name: transformers
license: mit
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Nickyang/FastCuRL-1.5B-V3
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-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/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q2_K.gguf) | Q2_K | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q3_K_S.gguf) | Q3_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q3_K_M.gguf) | Q3_K_M | 1.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q3_K_L.gguf) | Q3_K_L | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.IQ4_XS.gguf) | IQ4_XS | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q4_K_S.gguf) | Q4_K_S | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q4_K_M.gguf) | Q4_K_M | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q5_K_S.gguf) | Q5_K_S | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q5_K_M.gguf) | Q5_K_M | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q6_K.gguf) | Q6_K | 1.6 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.Q8_0.gguf) | Q8_0 | 2.0 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/FastCuRL-1.5B-V3-GGUF/resolve/main/FastCuRL-1.5B-V3.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 -->