mradermacher/Geneva-12B-GCv2-10k-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/Geneva-12B-GCv2-10k-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-04-11 13:25:00 +08:00
commit a25ed70042
13 changed files with 162 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

46
.gitattributes vendored Normal file
View File

@@ -0,0 +1,46 @@
*.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
Geneva-12B-GCv2-10k.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Geneva-12B-GCv2-10k.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Geneva-12B-GCv2-10k.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:feb38a7b8bb3567ce81e063aaefae9db1e8580f143c5f2471b633c5bfb111f08
size 6800058464

3
Geneva-12B-GCv2-10k.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d4606960eef43c6493fdec06699f81e85f5a3f0fbfec7b89164bfe54b5999d30
size 4791052384

3
Geneva-12B-GCv2-10k.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7691fd0abd0cf429040a9fe8c918a141894453847aa9dc76e99d93c0a4c5c514
size 6561507424

3
Geneva-12B-GCv2-10k.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:79e7f613c290a7768f7bb9b5b33b565f8b3c972c069e95af9351caf27bde48d1
size 6083094624

3
Geneva-12B-GCv2-10k.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8a6a52545741a9cd5a54daa7d53afe46516373b6fc8485cc63df0b56a2d07cd5
size 5534230624

3
Geneva-12B-GCv2-10k.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0a7454d22de8905ac09d9409e2d7c4ad76c5cf42669b83479a9b8ccbde707429
size 7477209184

3
Geneva-12B-GCv2-10k.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e9bd46b682c9d838d81cbf48ab32b132761444c4b4399344c080c66723ae656a
size 7120201824

3
Geneva-12B-GCv2-10k.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f60d123bc70e54c3b95781f5b3b4c7f88c19f8ca71492fef3d7040558a8a684e
size 8727636064

3
Geneva-12B-GCv2-10k.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7a5b167a42a75d02cbe338b415e99d8b30445b245d32a3759249fb389d50053e
size 8518740064

3
Geneva-12B-GCv2-10k.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:df3f19f5888a036f2bb169f77d61e616644858828427036da4f516f47ac93749
size 10056214624

3
Geneva-12B-GCv2-10k.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:581b166e8ca913a5ef76aeb3fd8abfea910f5ccc5bac89e95cf0d63b9bc862e9
size 13022373984

83
README.md Normal file
View File

@@ -0,0 +1,83 @@
---
base_model: rubenroy/Geneva-12B-GCv2-10k
datasets:
- rubenroy/GammaCorpus-v2-10k
language:
- en
- fr
- de
- es
- it
- pt
- ru
- zh
- ja
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- trl
- gammacorpus
- geneva
- chat
- mistral
- conversational
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/rubenroy/Geneva-12B-GCv2-10k
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-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/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.Q2_K.gguf) | Q2_K | 4.9 | |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.Q3_K_S.gguf) | Q3_K_S | 5.6 | |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.Q3_K_L.gguf) | Q3_K_L | 6.7 | |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.IQ4_XS.gguf) | IQ4_XS | 6.9 | |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.Q5_K_S.gguf) | Q5_K_S | 8.6 | |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.Q5_K_M.gguf) | Q5_K_M | 8.8 | |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.Q6_K.gguf) | Q6_K | 10.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Geneva-12B-GCv2-10k-GGUF/resolve/main/Geneva-12B-GCv2-10k.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.
<!-- end -->