mradermacher/EHR-R1-8B-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/EHR-R1-8B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-21 06:42:16 +08:00
commit 86a3de7df7
14 changed files with 161 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
EHR-R1-8B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.f16.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EHR-R1-8B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
EHR-R1-8B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6e34179c6d78c7eca9d13c3153a2fa10b29471a64c7fb2e36b4229ae6eed496d
size 4593297024

3
EHR-R1-8B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cd047deb83820ca18ed0cfe6a28b7f41456e8a099787fb603d53d2a68eaa3396
size 3281733248

3
EHR-R1-8B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d1bf7b73b0a6d81a81ec4892dcd8ad9df9458494b85c7f9c9deb13da05c1670c
size 4431394432

3
EHR-R1-8B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4578ea53d1dd47bc79dadb0064c81bcc040ce719e62a4334f4504194af18241e
size 4124161664

3
EHR-R1-8B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6df869aba2286ec52576588f070c27c2d8cb025ff21c8b59e5f21e512f37ded0
size 3769611904

3
EHR-R1-8B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:54c3d83ca1226aac11b179a3a7dec1e47a74f5187774c403c0b2364311aea864
size 5027784320

3
EHR-R1-8B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c2d0fe8554d588f7ccbae86749b03178d493ac754ccac20695b97326a7c18f19
size 4802012800

3
EHR-R1-8B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:95b5209c9e19166609b23a04936be312ec13c3e30a140f467c170c94ee2ecf60
size 5851113088

3
EHR-R1-8B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ece09097a61217e5917b8d433676fff8b71f4133ef38a228fa622e328cb3e7ae
size 5720761984

3
EHR-R1-8B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dd044325406e18ee9a280d549dcd2ab8ce0f73e0708c85cacdb8b5d5c7ec35ba
size 6725899904

3
EHR-R1-8B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9f41a9bd0f1c10e067ae79182a04fe19cb38b65c6b94eb6bd424378c7761d52b
size 8709518976

3
EHR-R1-8B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2ca1c4cf18717ae264120cb2fcd1c052799dd88df7632b90683f1ac74ce80ac6
size 16388044416

78
README.md Normal file
View File

@@ -0,0 +1,78 @@
---
base_model: BlueZeros/EHR-R1-8B
language:
- en
library_name: transformers
license: cc-by-nc-4.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- medical
- healthcare
- ehr
- reasoning
- qwen
---
## 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/BlueZeros/EHR-R1-8B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#EHR-R1-8B-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/EHR-R1-8B-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/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q2_K.gguf) | Q2_K | 3.4 | |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q3_K_S.gguf) | Q3_K_S | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q3_K_L.gguf) | Q3_K_L | 4.5 | |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.IQ4_XS.gguf) | IQ4_XS | 4.7 | |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q4_K_M.gguf) | Q4_K_M | 5.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q5_K_S.gguf) | Q5_K_S | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q5_K_M.gguf) | Q5_K_M | 6.0 | |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q6_K.gguf) | Q6_K | 6.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.Q8_0.gguf) | Q8_0 | 8.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/EHR-R1-8B-GGUF/resolve/main/EHR-R1-8B.f16.gguf) | f16 | 16.5 | 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 -->