mradermacher/ChaiML-Nemo-DPO-V8-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/ChaiML-Nemo-DPO-V8-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-04-29 02:04:37 +08:00
commit 11a822f30e
14 changed files with 149 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
ChaiML-Nemo-DPO-V8.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
ChaiML-Nemo-DPO-V8.Q4_0_4_4.gguf filter=lfs diff=lfs merge=lfs -text

3
ChaiML-Nemo-DPO-V8.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f8f6e95a19ca6fcd43e3af7793aa9f57b7d613bd1718bc58cc4cbce9b29f2d29
size 6800057216

3
ChaiML-Nemo-DPO-V8.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:59f8d7f18ecaa34940563e953c6fb65e1a7f0440b7a5b3dac5bebd08c38513e2
size 4791051136

3
ChaiML-Nemo-DPO-V8.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6d2cb2d8b5fb843d26f9005d32596140bb592fff6df95828c1114cde9d9d3187
size 6561506176

3
ChaiML-Nemo-DPO-V8.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3831b217222081560c77f6968eface37926b08f64a1ad39bd7efab98f455e249
size 6083093376

3
ChaiML-Nemo-DPO-V8.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a3864ab92bd9fc6f2af88a39c7d894be605a7562b353e8f1ee2deaaf2a1f4555
size 5534229376

3
ChaiML-Nemo-DPO-V8.Q4_0_4_4.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ee19df09306e0a2bcf3dd00e4f988fa967cc601133e6a67b3abb5cce0735b1c2
size 7071703936

3
ChaiML-Nemo-DPO-V8.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e4069f46eb74a1fd249725454acca3950928865d54dde652d852da1acbc56af5
size 7477207936

3
ChaiML-Nemo-DPO-V8.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2c85db09176488dacfd383570aab82da2542aacc7d52b398313db83a6965ad33
size 7120200576

3
ChaiML-Nemo-DPO-V8.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5cda7e3812d43153b7f23a027d0ffef3b5cf5031c1b735619b683a3e3249039b
size 8727634816

3
ChaiML-Nemo-DPO-V8.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c64d9168ea1121a289db8d5126f9516d38e4be9664e7514671b80a8bc6ef82e7
size 8518738816

3
ChaiML-Nemo-DPO-V8.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8faccd5c716785f656c0783be3ef9f2d0ef407b3c8ffb79139867d2284aa35ed
size 10056213376

3
ChaiML-Nemo-DPO-V8.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8031cdc29a1b1ede17ba5542b20a2a8bb57e3c41e3c7685115ee3528690e9775
size 13022372736

66
README.md Normal file
View File

@@ -0,0 +1,66 @@
---
base_model: cloudyu/ChaiML-Nemo-DPO-V8
language:
- en
library_name: transformers
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
static quants of https://huggingface.co/cloudyu/ChaiML-Nemo-DPO-V8
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-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/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q2_K.gguf) | Q2_K | 4.9 | |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q3_K_S.gguf) | Q3_K_S | 5.6 | |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q3_K_L.gguf) | Q3_K_L | 6.7 | |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.IQ4_XS.gguf) | IQ4_XS | 6.9 | |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q4_0_4_4.gguf) | Q4_0_4_4 | 7.2 | fast on arm, low quality |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q5_K_S.gguf) | Q5_K_S | 8.6 | |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q5_K_M.gguf) | Q5_K_M | 8.8 | |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q6_K.gguf) | Q6_K | 10.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/ChaiML-Nemo-DPO-V8-GGUF/resolve/main/ChaiML-Nemo-DPO-V8.Q8_0.gguf) | Q8_0 | 13.1 | fast, best quality |
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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
<!-- end -->