mradermacher/OpenCognito-r2-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/OpenCognito-r2-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-04 06:06:16 +08:00
commit 6faede3d67
14 changed files with 155 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
OpenCognito-r2.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
OpenCognito-r2.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
OpenCognito-r2.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:16ae464a2814492303de5ff43bc728eb55d28ed9e8420fe9b3c7f332d650c7b8
size 1753185728

3
OpenCognito-r2.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9cb9b4f97235ddfcfa3388340893870eec0e6acf0fd759d8b433d17c0f2fc233
size 1274756544

3
OpenCognito-r2.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:70ebee837ad141ae280eac4f245571f0baf02ff9fb06c03572e7106e7adc274b
size 1707392448

3
OpenCognito-r2.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:64df055ab23865d4dacc19c6fb63002493306021883e2dbb630ad80d6d61a531
size 1590476224

3
OpenCognito-r2.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3a5bb493a076d1ebf1504748c7c3449496026216636e78110945c8b2a850c0f0
size 1454357952

3
OpenCognito-r2.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f80212fd6d2fe46212492f63d67f3a5e9cb1eb1da0e0e9c060f9cc89b1198bf6
size 1929903552

3
OpenCognito-r2.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1c97e6d48f99fb085c5afcc06f0387612001c3a3ade4fe58cef0da41a3a25e68
size 1834384832

3
OpenCognito-r2.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:aced69f0377ec598cd7e4e645cc9ce8e6af923c129f8ddc95315baa59a884ec1
size 2224815552

3
OpenCognito-r2.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7cf234a05b986762320aeeb3eccf56d3d7dffdad3ee0e5661982c63543888cb7
size 2169667008

3
OpenCognito-r2.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0d691e558c240f1c3122365e7ea6baf5a21760309a18b3e21528f7cb8bd50c9c
size 2538159552

3
OpenCognito-r2.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7fe0430a3627db6306b8f5411b69e73a61dcd178d6bb885dee49cf97749edfb4
size 3285476800

3
OpenCognito-r2.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:879cf65d0551209900d05b0d6be392254903d0fcec127b421deb3d45fbd700ce
size 6178317760

72
README.md Normal file
View File

@@ -0,0 +1,72 @@
---
base_model: mrdayl/OpenCognito-r2
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
- grpo
- sft
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/mrdayl/OpenCognito-r2
<!-- 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/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q2_K.gguf) | Q2_K | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q3_K_S.gguf) | Q3_K_S | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q3_K_M.gguf) | Q3_K_M | 1.7 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q3_K_L.gguf) | Q3_K_L | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.IQ4_XS.gguf) | IQ4_XS | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q4_K_S.gguf) | Q4_K_S | 1.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q4_K_M.gguf) | Q4_K_M | 2.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q5_K_S.gguf) | Q5_K_S | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q5_K_M.gguf) | Q5_K_M | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q6_K.gguf) | Q6_K | 2.6 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.Q8_0.gguf) | Q8_0 | 3.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/OpenCognito-r2-GGUF/resolve/main/OpenCognito-r2.f16.gguf) | f16 | 6.3 | 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 -->