mradermacher/KoMultiGen-General-Llama3-8B-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/KoMultiGen-General-Llama3-8B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-27 15:29:18 +08:00
commit b1cb7829a3
17 changed files with 162 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

50
.gitattributes vendored Normal file
View File

@@ -0,0 +1,50 @@
*.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
KoMultiGen-General-Llama3-8B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.f16.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
KoMultiGen-General-Llama3-8B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
KoMultiGen-General-Llama3-8B.IQ3_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0ef7c01dac22bcf23039d249fe204370ca0073382a75ffc38a2ad52de6c224af
size 3784824864

3
KoMultiGen-General-Llama3-8B.IQ3_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:111364b742138bbadec0224a47c976fe479946e5e08075babeb703dc5f39ce03
size 3682326560

3
KoMultiGen-General-Llama3-8B.IQ3_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2cabe0aad35e92b74b4de10aa67c22f7ca98d077503c17d5f54f8926d48c26ec
size 3518748704

3
KoMultiGen-General-Llama3-8B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:da003218805adc2ca6ed55e747b7a8f50f82d820aefc5899714060c285483b4a
size 4484364320

3
KoMultiGen-General-Llama3-8B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7b9483d70bd2e748c3267cbdf766276b7e47da840956b225f022f5cae72b98e3
size 3179132960

3
KoMultiGen-General-Llama3-8B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:31a738e036477f71dd5a4e0e015c553278e0492b6e7e455a185600d6cdbb9556
size 4321957920

3
KoMultiGen-General-Llama3-8B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9315e3ba2d43319b7d05c19228c33e141fa96b658b83bf7bfa86f58f17bbee97
size 4018919456

3
KoMultiGen-General-Llama3-8B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1193ff3191198c44840b033337b5fdf411526907ce31803e8b80265f164de53b
size 3664500768

3
KoMultiGen-General-Llama3-8B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ba4e531e9cca3cd96c86b14f81adc2a568b4d2f37f9e745013046deda1f6296c
size 4920735776

3
KoMultiGen-General-Llama3-8B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ec57f32a8cf8619a7c9b2c87507072a868c3d96873141076cab512c8ada9011b
size 4692670496

3
KoMultiGen-General-Llama3-8B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:aa7cf62d819d133a755875187279176e384071b4a70c72889a5fc7fda317b578
size 5732988960

3
KoMultiGen-General-Llama3-8B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e4e473261c554a3b58f2c26218e75d1af87deb09ba2ed80fee24d6de55df56c8
size 5599295520

3
KoMultiGen-General-Llama3-8B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:32b15c60b0ed4f132750498c095ea7dba671babe40a5505359ac4cce9d8963a5
size 6596007968

3
KoMultiGen-General-Llama3-8B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:29ee21f21af23a19d26552caa6c9f0267bfc2c10ed30f7a08819c01b2fd2bbd1
size 8540772384

3
KoMultiGen-General-Llama3-8B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7868a6ed64bc7f81af356d718b111ef6791df32b53c88f59ad8cf99f70e48a0c
size 16068892704

67
README.md Normal file
View File

@@ -0,0 +1,67 @@
---
base_model: Ja-ck/KoMultiGen-General-Llama3-8B
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Ja-ck/KoMultiGen-General-Llama3-8B
<!-- provided-files -->
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/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.IQ3_XS.gguf) | IQ3_XS | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.IQ3_S.gguf) | IQ3_S | 3.8 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.IQ3_M.gguf) | IQ3_M | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/KoMultiGen-General-Llama3-8B-GGUF/resolve/main/KoMultiGen-General-Llama3-8B.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 -->