初始化项目,由ModelHub XC社区提供模型

Model: mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-08 09:52:15 +08:00
commit 2cb78dc1fc
14 changed files with 152 additions and 0 deletions

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-Instruct-hikaye.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3.2-1B-Instruct-hikaye.f16.gguf filter=lfs diff=lfs merge=lfs -text

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ffd20c82279a18ae5c5c2281e7ae868dea451d27a20571a65e09818abfe88e8f
size 748384384

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9b9725ff4bf0b617a1e36020711dfef62a72242fb342e74517097a35366c215e
size 580874368

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ddb5329408d9bba6d7174e46ff9863e95642e3f4b5f035b52701de941bff71e4
size 732524672

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:76d2100ecd9c9bebc789fe5344abfcb8e5ac65155bc795e82f4a2e7559f8f20a
size 690843776

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e6b48f0bbc464a35905075f0c16735d944c6c2b04989f128344eca69d089bb1d
size 641691776

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b73184a638d7346370fd5f16b116d8a172cbd90f7877f02db8aa6837ad0dbcef
size 807694464

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9c4f748f96c8c305c0e9163c29dd7882ec52c10de3bb968fd9132766ff35dccb
size 775647360

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c178fdb5d5af6c11901399d1e17c52d0ab30a6defbe1c0689f8d4fd07ab67521
size 911503488

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1266bbbec768ca5506475bc7e3f1fdfb81c7f4c0b9d4138e30300ab73cfefc56
size 892563584

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c54293396530f9c4759229c76a18ddc8f3bfee016b37c9f1255c9c3f619b9533
size 1021800576

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7aecd54dfeb63c2862bfde51f355b7fb8a4e5524533034c02cd431c6047478f2
size 1321083008

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9a768b93bb452b7b7ad38d114ff56f7b463b5411d72d998a5e5202e3ebd9b48f
size 2479595648

69
README.md Normal file
View File

@@ -0,0 +1,69 @@
---
base_model: arsalanaa/Llama-3.2-1B-Instruct-hikaye
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: -->
static quants of https://huggingface.co/arsalanaa/Llama-3.2-1B-Instruct-hikaye
<!-- 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-Instruct-hikaye-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/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q2_K.gguf) | Q2_K | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q3_K_S.gguf) | Q3_K_S | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q3_K_L.gguf) | Q3_K_L | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.IQ4_XS.gguf) | IQ4_XS | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q4_K_M.gguf) | Q4_K_M | 0.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q5_K_S.gguf) | Q5_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q5_K_M.gguf) | Q5_K_M | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q6_K.gguf) | Q6_K | 1.1 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.Q8_0.gguf) | Q8_0 | 1.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.2-1B-Instruct-hikaye-GGUF/resolve/main/Llama-3.2-1B-Instruct-hikaye.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 -->