mradermacher/CodeScout-1.7B-RFT-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/CodeScout-1.7B-RFT-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-27 17:33:18 +08:00
commit f8c3b9ac40
14 changed files with 155 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
CodeScout-1.7B-RFT.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
CodeScout-1.7B-RFT.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
CodeScout-1.7B-RFT.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f91e97b75249176d88a52ab968ec17c75f8b6b30fb5af7d47fcef36c255b4efb
size 1016279840

3
CodeScout-1.7B-RFT.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e199a33a076abaf6ecdad47192c3373435e0d6d1d334546b8df8c96bcf70b72d
size 777794336

3
CodeScout-1.7B-RFT.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6a7c14466f263734167986fc8d72c05b852e486c80cf539d107ce740aafbdd21
size 1003500320

3
CodeScout-1.7B-RFT.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6d6ec7da5ef5c0287f6ecef4fdb267c0b758d511b91477338080439d2b498f2c
size 939537184

3
CodeScout-1.7B-RFT.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c58ea2b663db829b93a963b121d8b559bffb8a005034745744c205ce206d8dba
size 867250976

3
CodeScout-1.7B-RFT.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a513f1cb97223e2eca9149bd0fcfbbee4c1ee5fb5278ef229331f1f1c6b300e3
size 1107407648

3
CodeScout-1.7B-RFT.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3bfb2666ca8aae5cdcb27d760a9ea9a69f6cef59345d9bec87a0882920761cbc
size 1060188960

3
CodeScout-1.7B-RFT.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1d195c19e34b2805a0ee2b6dc55d0a9c3947328ed07a48ade72b931996d7c701
size 1257878304

3
CodeScout-1.7B-RFT.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:31b9e66c9b3ed4a66981db360e5156624ba702cb2a3a192b80c0c7706b333bfc
size 1230582560

3
CodeScout-1.7B-RFT.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7c015b05404f049fd709fa4559285b79c483cc368a8c9bd0fe0207ac107425e5
size 1417753376

3
CodeScout-1.7B-RFT.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b29f22467ccbe2ebdd9385e8b2ed3258eb2f6ec77e53fc9a84d60b45bd5b2863
size 1834425120

3
CodeScout-1.7B-RFT.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:da578735da575bf52c37eb40138caea219897bc7d52835d60427f0cec2cb0275
size 3447348000

72
README.md Normal file
View File

@@ -0,0 +1,72 @@
---
base_model: adityasoni17/CodeScout-1.7B-RFT
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: []
---
## 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/adityasoni17/CodeScout-1.7B-RFT
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#CodeScout-1.7B-RFT-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/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q2_K.gguf) | Q2_K | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q3_K_S.gguf) | Q3_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q3_K_M.gguf) | Q3_K_M | 1.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q3_K_L.gguf) | Q3_K_L | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.IQ4_XS.gguf) | IQ4_XS | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q4_K_S.gguf) | Q4_K_S | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q4_K_M.gguf) | Q4_K_M | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q5_K_S.gguf) | Q5_K_S | 1.3 | |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q5_K_M.gguf) | Q5_K_M | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q6_K.gguf) | Q6_K | 1.5 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.Q8_0.gguf) | Q8_0 | 1.9 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/CodeScout-1.7B-RFT-GGUF/resolve/main/CodeScout-1.7B-RFT.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 -->