mradermacher/Mega-ASR-1.7B-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/Mega-ASR-1.7B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-04 03:54:16 +08:00
commit 2b0b6736f0
16 changed files with 165 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

49
.gitattributes vendored Normal file
View File

@@ -0,0 +1,49 @@
*.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
Mega-ASR-1.7B.mmproj-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.mmproj-f16.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Mega-ASR-1.7B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Mega-ASR-1.7B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3de50f986dc34157447d50e2b358c09b20c97f4ead63a4e69fdd842c48b477b3
size 1016277440

3
Mega-ASR-1.7B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:89e3afdb08bb1f133012ba1983d77de616275dd24761ca874376b5704c3d070f
size 777791936

3
Mega-ASR-1.7B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cd9a4bab9b91c09f9ecd4eb4d8d09cdaf752fb0029fea0578a561e941e1be1f6
size 1003497920

3
Mega-ASR-1.7B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7871496ca38a3c918b7aab8f272aed03fc99d2292f2a97bf38be31822eb46fde
size 939534784

3
Mega-ASR-1.7B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c7c9159bf7461c603b0a1cc9471a7189c913f39e82e1d72a83cf8757d112e85d
size 867248576

3
Mega-ASR-1.7B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:90aee8edca6445697ab32f6315191dd2a37a7ea5920878165a95e1b7d07eedff
size 1107405248

3
Mega-ASR-1.7B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:78c4f9d809e899b3cd9d3feb95bd8c32351663ae97e546934209635f98bc68b9
size 1060186560

3
Mega-ASR-1.7B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2904cce308104ee219a989eaa422f84cc281692ad53d294210c70af427bfd923
size 1257875904

3
Mega-ASR-1.7B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:673f6d639b0843ba471babc4a983870c21dab9cf1bb28b1462c542faff816004
size 1230580160

3
Mega-ASR-1.7B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1a97f5af0727369caad0e03a8ae7910d732d322881fd5b689ce4ab0e0f2b7ba0
size 1417750976

3
Mega-ASR-1.7B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a01efd568573e521dfe729f333c2a7f8e5c5c966295da3ad3bf343fb486fe851
size 1834422720

3
Mega-ASR-1.7B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3496f887a8ea25a3c5715c2f8591d7657ed7a24ef0811d2a7dcaa654a0d32287
size 3447345600

3
Mega-ASR-1.7B.mmproj-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7ec41115d90dbad5016321021f7d1c3e9257aeec75590ff9092637d7cda0cf35
size 355709408

3
Mega-ASR-1.7B.mmproj-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:94eff3569056202b8693c1b567e431dd42fadce3e2cd249153d4115007d2b370
size 641774048

74
README.md Normal file
View File

@@ -0,0 +1,74 @@
---
base_model: MigoXV/Mega-ASR-1.7B
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
---
## 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/MigoXV/Mega-ASR-1.7B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Mega-ASR-1.7B-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/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.5 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.mmproj-f16.gguf) | mmproj-f16 | 0.7 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q2_K.gguf) | Q2_K | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q3_K_S.gguf) | Q3_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q3_K_M.gguf) | Q3_K_M | 1.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q3_K_L.gguf) | Q3_K_L | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.IQ4_XS.gguf) | IQ4_XS | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q4_K_S.gguf) | Q4_K_S | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q4_K_M.gguf) | Q4_K_M | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q5_K_S.gguf) | Q5_K_S | 1.3 | |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q5_K_M.gguf) | Q5_K_M | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q6_K.gguf) | Q6_K | 1.5 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.Q8_0.gguf) | Q8_0 | 1.9 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Mega-ASR-1.7B-GGUF/resolve/main/Mega-ASR-1.7B.f16.gguf) | f16 | 3.5 | 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 -->