mradermacher/Llama-3.2-1B-FlashNorm-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/Llama-3.2-1B-FlashNorm-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-26 23:07:19 +08:00
commit c0f5822793
14 changed files with 159 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
Llama-3.2-1B-FlashNorm.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-FlashNorm.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Llama-3.2-1B-FlashNorm.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:031184e522059bbbd9146bdb5b5d0a68456bc7795170d937e4d77b59f52f2820
size 748380960

3
Llama-3.2-1B-FlashNorm.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9d55aae0f01bf01c03c1b7ddf60141ed71b047677d81f94e49653fdd260fc07a
size 580870944

3
Llama-3.2-1B-FlashNorm.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:815cc948f041b6d52f0121410a89785207fe4018bdabe51371ab06587b7b4980
size 732521248

3
Llama-3.2-1B-FlashNorm.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e0525d595e270a36611555811afbf9ffff3e612be8eab88883c2ecc76f2e8d4d
size 690840352

3
Llama-3.2-1B-FlashNorm.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:77675e0e17f89bd187211b442df3e613fb97b2b1db40a7f9c3f0f0d69ecceccc
size 641688352

3
Llama-3.2-1B-FlashNorm.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e4bd487885897ee269ade952978797b9fb08ca65b9b8acb4e741cad77f952ea1
size 807691040

3
Llama-3.2-1B-FlashNorm.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:981ab8a7a44510385d7176771be2bd1acd7188315d1a114e43646a1ea24361c0
size 775643936

3
Llama-3.2-1B-FlashNorm.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:80b6047d8f08bbbf0cfb5acb1c0afe827e6b92ec556099c032f8bc1aa775caca
size 911500064

3
Llama-3.2-1B-FlashNorm.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:35c55b359f8857d021568fcaba351c443577dbdd304f42560ae21cd35f9c0543
size 892560160

3
Llama-3.2-1B-FlashNorm.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a11a19cbe11cb976b260bd277ae39e099dbdd015c330a808193346462e3557f4
size 1021797152

3
Llama-3.2-1B-FlashNorm.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c608f9b1c5becb01f7400c3cf849498dc472fccc0336a59d3cad9fa4b42a02be
size 1321079584

3
Llama-3.2-1B-FlashNorm.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:73f7cfbb554fa802f80b69bb79d9cf2de5fd0f1e2b0c57127a8dac13b32c5775
size 2479592224

76
README.md Normal file
View File

@@ -0,0 +1,76 @@
---
base_model: open-machine/Llama-3.2-1B-FlashNorm-test
language:
- en
library_name: transformers
license: llama3.2
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- flashnorm
- transformer-tricks
- efficient-inference
---
## 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/open-machine/Llama-3.2-1B-FlashNorm-test
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-3.2-1B-FlashNorm-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-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/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q2_K.gguf) | Q2_K | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q3_K_S.gguf) | Q3_K_S | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q3_K_L.gguf) | Q3_K_L | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.IQ4_XS.gguf) | IQ4_XS | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q4_K_M.gguf) | Q4_K_M | 0.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q5_K_S.gguf) | Q5_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q5_K_M.gguf) | Q5_K_M | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q6_K.gguf) | Q6_K | 1.1 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.Q8_0.gguf) | Q8_0 | 1.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-FlashNorm-GGUF/resolve/main/Llama-3.2-1B-FlashNorm.f16.gguf) | f16 | 2.6 | 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 -->