mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-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/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-31 12:21:16 +08:00
commit a7fbeecc46
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
Llama3-Aloe-8B-Alpha-Patient-Descriptions.f16.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama3-Aloe-8B-Alpha-Patient-Descriptions.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e77b5f07682c570ab5e0507478c9cc9d34a42406c22d7e580b911031dcb010df
size 4484365824

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:75944bc6faf4c959470d66b9102a680e70d9a20075442f241b67344bd32afb39
size 3179134464

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:12f813b862cb00fc46134ee95bace5cf8d459f1b88d8cd47a9c383a41ce4aa71
size 4321959424

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:28706fda786412a0cc9872973ae27b1f49157359705e689eaede49847d369bbf
size 4018920960

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:741c318564b80b3687668bb0a0b556a6e4e31863dbb2ecce0a5e25d647a6666f
size 3664502272

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9dace21aa8db457b2996b6bce41adaf2a346c58a1a8ec2f3d5826fa899b8e710
size 4920737280

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:71e01323b59e63b4b5edddbb07877cb4f6eec0514a04c5b6b6c2b09d8e1fe94a
size 4692672000

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b7f0231bfa9a8088288c989b170e2a95647cc7bf4cf1fb349e13670a8c13a50e
size 5732990464

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1ff39ba8f0aebaf0ddd3a9ca939d00a1c0feca6953e6876615240936f5476f00
size 5599297024

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cc439d8738e272002afbe30f463932f05d1fe27e1b31f23b52a92cb15744e737
size 6596009472

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b5455d7ea0cc7bf0662baa6ae580c1f8219426ad40fc9bb45e6497e84cebed8e
size 8540773888

3
Llama3-Aloe-8B-Alpha-Patient-Descriptions.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:69943d01dec83134d52ae2e9a9b215eb6f69a82c858d12cc211f2d10cabd9a85
size 16068894208

78
README.md Normal file
View File

@@ -0,0 +1,78 @@
---
base_model: mikkel-werling/Llama3-Aloe-8B-Alpha-Patient-Descriptions
datasets: mikkel-werling/cardiovascular_biobank_patient_descriptions
language:
- en
library_name: transformers
model_name: Llama3-Aloe-8B-Alpha-Patient-Descriptions
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- generated_from_trainer
- open-r1
- trl
- sft
---
## 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/mikkel-werling/Llama3-Aloe-8B-Alpha-Patient-Descriptions
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF).***
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/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Llama3-Aloe-8B-Alpha-Patient-Descriptions-GGUF/resolve/main/Llama3-Aloe-8B-Alpha-Patient-Descriptions.f16.gguf) | f16 | 16.2 | 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 -->