mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-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/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-24 10:10:16 +08:00
commit 16bf0f1db1
14 changed files with 154 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
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.f16.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9978a8ffecf8a3757596b5f7bc4769d1436823e53d881dee1fee4a4ce7b931f2
size 4484374496

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:03d33aa541cc2c3e8c330e24994b5d5bb6d8eca10f716ee827f2777a5d1b37b4
size 3179142304

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ca9b11b591ccefada65fb69357ff3c6a45c9b8af2abb6e81c2a07315d5e5e7bb
size 4321967680

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:843cdce1663bee068a05d86858bf43bf4bf93d3e5bca1e80736eea362e158c9d
size 4018929216

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b5add01b70fe241187ff269f0347e34c22e6303a884531b2aa58268063cde7e3
size 3664510528

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d86106cd49510328af41cc53ed7e553e0688ecf5bcda3d6ad948705c23af0c9b
size 4920746080

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e70e1b5df80d8705b901e9cf21ce11634ad31ea8de3f35f571f8e3f396ec7e3c
size 4692680800

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5250a6ac35597811d8a58d4c1d92afdb578e909139720793f73ee4110acc3e73
size 5732999776

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e6724ebd1b42bd7a11039b4f9df079a6b70362da80c217773a8133e56cc20d19
size 5599306336

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7419bad5390e8760ef6b30c31a018394f94280cfe78cd34dde17e16534d50d07
size 6596019328

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:81469fd7a8174fa39afef789ff74ac560022c788b9061218957cc7d947712423
size 8540785728

3
Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4e8604a4f5c95672083a8a5f90af391f0ad644fc7c4de920750e5c50509f074d
size 16068913728

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: Broyojo/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
static quants of https://huggingface.co/Broyojo/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning
<!-- 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/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-PRM800K-Reasoning.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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
<!-- end -->