初始化项目,由ModelHub XC社区提供模型

Model: mradermacher/FastLlama-3.2-1B-Instruct-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-09 18:28:03 +08:00
commit 74148baf1c
15 changed files with 171 additions and 0 deletions

48
.gitattributes vendored Normal file
View File

@@ -0,0 +1,48 @@
*.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
FastLlama-3.2-1B-Instruct.f16.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
FastLlama-3.2-1B-Instruct.Q4_0_4_4.gguf filter=lfs diff=lfs merge=lfs -text

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b57dda39f7cf6349856aba5c5246ffc4a3ba292a453b7ec0f93df71704d2adb9
size 748385184

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c26a0545f8672c4745405c456b0ede23a037afc0ea8d287365b60e4c29076026
size 580875168

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fcf9deaeb666d30eaad8b6b432d89557560f344cd72eecfda633ad0146f86900
size 732525472

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0351784fb9497d01c747d92ee1767c9ae10098ee0ba1edfda3d6ae4cee3e1aed
size 690844576

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f8100ff40ff0e3de9faae04a2a28e07e8c3be4a7d11a1a48f3fe6e5bcd2dee7c
size 641692576

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6b8d0e95778781e38fc2db878ac4b1b62a929293b8e436bc71d5abc62b2167b5
size 770929568

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e34626527dcf9c49c76a648f3cfe0a2e8a9ee379189634eaa42e1925899b1a88
size 807695264

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:85b6716f24a688e7beaf3f4daa38ab68791f813c23eabd48d7e73d4e0aa74671
size 775648160

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7cb8c197b2179cfb9d92a7d5a81b55855ed57c48f9fafba3fea6a187e305c521
size 911504288

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:26c99f62e6b68f66f6efbc3ff82473211e1a8fd710feabb7b3c0ed9a1a020505
size 892564384

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2362accd3646d21b140a315f49d72e71227e9aba114a6f78d52c6038c6ac86db
size 1021801376

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9ee695a9042e877ba7677865380de23445db4168d6f286f40da9fe33dd3a8616
size 1321083808

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3b6e7e92b2e4c46942d613827d2a7bccb196fe0778840fcf062cdf3f9c09497b
size 2479596448

84
README.md Normal file
View File

@@ -0,0 +1,84 @@
---
base_model: suayptalha/FastLlama-3.2-1B-Instruct
datasets:
- HuggingFaceTB/smoltalk
language:
- en
- de
- es
- fr
- it
- pt
- hi
- th
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- math
- lora
- science
- chemistry
- biology
- code
- text-generation-inference
- unsloth
- llama
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/suayptalha/FastLlama-3.2-1B-Instruct
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-i1-GGUF
## 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/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q2_K.gguf) | Q2_K | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q3_K_S.gguf) | Q3_K_S | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q3_K_L.gguf) | Q3_K_L | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.IQ4_XS.gguf) | IQ4_XS | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q4_0_4_4.gguf) | Q4_0_4_4 | 0.9 | fast on arm, low quality |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q4_K_M.gguf) | Q4_K_M | 0.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q5_K_S.gguf) | Q5_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q5_K_M.gguf) | Q5_K_M | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q6_K.gguf) | Q6_K | 1.1 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.Q8_0.gguf) | Q8_0 | 1.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/FastLlama-3.2-1B-Instruct-GGUF/resolve/main/FastLlama-3.2-1B-Instruct.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 -->