mradermacher/GanitLLM-0.6B-SFT-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/GanitLLM-0.6B-SFT-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-20 06:04:18 +08:00
commit 2a0b71e0c3
14 changed files with 163 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
GanitLLM-0.6B-SFT.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
GanitLLM-0.6B-SFT.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
GanitLLM-0.6B-SFT.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:901f9bbf3845b6ee669a60d89880e5ba9d657e714613c6c48dca137b91e74479
size 451932096

3
GanitLLM-0.6B-SFT.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:218c62919c3dd4b78c372d0106f09625aa37905479e0900a5442135eab6efd02
size 347289536

3
GanitLLM-0.6B-SFT.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6dc8fb61716e39fe778840febb4afc6766a290c56686f45aa594a0938d464df6
size 435344320

3
GanitLLM-0.6B-SFT.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:297885a6400c1dd68a494ee3138f6b050837617111027dfe076823eb67caee02
size 413979584

3
GanitLLM-0.6B-SFT.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:70067dedf7a1e24dffdd2b06e513f8c08b10e917250952a86520ef9d8ee59c6c
size 389927872

3
GanitLLM-0.6B-SFT.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d18d1e274cdbbe0e5872740fcddadb10f03662b13b25ecc717c9177abb7b1dd0
size 484220864

3
GanitLLM-0.6B-SFT.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:453d0bdd607343c7ddb15793f95c20ffde75ed54753e4121f8ae8972d2b11071
size 470785984

3
GanitLLM-0.6B-SFT.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:99f5d2698d70fb8f5376931853b8990376382a49f314cb15af8d3a9f8e085bc7
size 551378880

3
GanitLLM-0.6B-SFT.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ff0d2b0df96e35421b2d51c3b03c0c70b3f2032044c32dd43edcedfc6996ba29
size 543580096

3
GanitLLM-0.6B-SFT.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:898785310ae723f5e707de0e0ecd14aa93f3f06d2f54026b0ddc45899a5c52e8
size 622734272

3
GanitLLM-0.6B-SFT.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6c87e608bbfe61bab314c2cdaef893c06f0529ae37c0fc72d6bc23bd1f244bd0
size 804754368

3
GanitLLM-0.6B-SFT.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4238a42c6cf16a5c5595b269d3e2de13a09fa336b7cac9ea7ee7ca3e1d05a3b2
size 1509348288

80
README.md Normal file
View File

@@ -0,0 +1,80 @@
---
base_model: dipta007/GanitLLM-0.6B-SFT
datasets:
- dipta007/Ganit
language:
- bn
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- math
- bengali
- reasoning
- 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/dipta007/GanitLLM-0.6B-SFT
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#GanitLLM-0.6B-SFT-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/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q2_K.gguf) | Q2_K | 0.4 | |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q3_K_S.gguf) | Q3_K_S | 0.5 | |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q3_K_M.gguf) | Q3_K_M | 0.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q3_K_L.gguf) | Q3_K_L | 0.5 | |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.IQ4_XS.gguf) | IQ4_XS | 0.6 | |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q4_K_S.gguf) | Q4_K_S | 0.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q4_K_M.gguf) | Q4_K_M | 0.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q5_K_S.gguf) | Q5_K_S | 0.6 | |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q5_K_M.gguf) | Q5_K_M | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q6_K.gguf) | Q6_K | 0.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.Q8_0.gguf) | Q8_0 | 0.9 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/GanitLLM-0.6B-SFT-GGUF/resolve/main/GanitLLM-0.6B-SFT.f16.gguf) | f16 | 1.6 | 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 -->