mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-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/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-10 02:24:10 +08:00
commit ac07b362db
14 changed files with 169 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
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.f16.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
NVIDIA-Nemotron-Nano-9B-v2-Japanese.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5ce60039b2d14109c6ecbfe2e48f9f704462b7dfb28e559477ccc3eeffb81c48
size 5359306880

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:68f12abf1da6de37a98c24cae18c82ed34d078f4ec5e7e7a5a8bce934e22cd45
size 5006193280

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2cb977392b34c2fae71706ec30b2bbf521136e8e0d57844ddb5217ff88745f44
size 5488366720

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e734a435ea01e01d3af43831a4dc4f1550e3a0d06f0725fa00c513c49580a115
size 5379735680

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f351e7911b51da168af1b4069b58be5e635bc83b4afb79d91b96d4c17e400e55
size 5131991680

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6ea3ade1a406efb755566b7e5713166b1a425fb005225446586baf7e1cbaef86
size 6525630080

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8e58202d205fdd1c23d03d79a85ef5b9ee8954ad21a87303fb1eddcf404c67b3
size 6211617920

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9eb8212c405e321b7dced65ea8f7090d57f6bd793b1d95057e32f091bd04b75a
size 7069806720

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d9373ff0e8b20dbf3faf81d607679ce1f4627d13c131960b4c6e177e3fe117b0
size 6781563520

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6bccc6067ca3b8b1c9880b5ba34290d03b5578b7974972624fcaa6c7f7e06fec
size 9135893120

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:82739379f3a7c45383e292a7a593f8fbe786a10065569f3bbe3ef661ca98bfb1
size 9458094720

3
NVIDIA-Nemotron-Nano-9B-v2-Japanese.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b06d4ec5bd5d084d99aef4e855653becb5e5360a880493cbe529116873aa8921
size 17788744320

86
README.md Normal file
View File

@@ -0,0 +1,86 @@
---
base_model: urufura/NVIDIA-Nemotron-Nano-9B-v2-Japanese
datasets:
- nvidia/Nemotron-Personas-Japan
- nvidia/Nemotron-CC-v2.1
- nvidia/Nemotron-Pretraining-Specialized-v1
- nvidia/Nemotron-Agentic-v1
- nvidia/Nemotron-Instruction-Following-Chat-v1
- globis-university/aozorabunko-clean
- HuggingFaceFW/fineweb-2
language:
- en
- ja
library_name: transformers
license: other
license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-nemotron-open-model-license/
license_name: nvidia-nemotron-open-model-license
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- nvidia
- pytorch
---
## 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/urufura/NVIDIA-Nemotron-Nano-9B-v2-Japanese
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-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/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q2_K.gguf) | Q2_K | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q3_K_S.gguf) | Q3_K_S | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.IQ4_XS.gguf) | IQ4_XS | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q3_K_M.gguf) | Q3_K_M | 5.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q3_K_L.gguf) | Q3_K_L | 5.6 | |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q4_K_S.gguf) | Q4_K_S | 6.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q4_K_M.gguf) | Q4_K_M | 6.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q5_K_S.gguf) | Q5_K_S | 6.9 | |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q5_K_M.gguf) | Q5_K_M | 7.2 | |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q6_K.gguf) | Q6_K | 9.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.Q8_0.gguf) | Q8_0 | 9.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/NVIDIA-Nemotron-Nano-9B-v2-Japanese-GGUF/resolve/main/NVIDIA-Nemotron-Nano-9B-v2-Japanese.f16.gguf) | f16 | 17.9 | 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 -->