base_model: sequelbox/Llama3.1-8B-PlumMath
language:
- en
library_name: transformers
license: llama3.1
model_type: llama
quantized_by: mradermacher
tags:
- mergekit
- merge
- shining-valiant
- shining-valiant-2
- cobalt
- plum
- valiant
- valiant-labs
- llama
- llama-3.1
- llama-3.1-instruct
- llama-3.1-instruct-8b
- llama-3
- llama-3-instruct
- llama-3-instruct-8b
- 8b
- math
- math-instruct
- science
- physics
- biology
- chemistry
- compsci
- computer-science
- engineering
- technical
- conversational
- chat
- instruct
About
static quants of https://huggingface.co/sequelbox/Llama3.1-8B-PlumMath
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama3.1-8B-PlumMath-i1-GGUF
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs 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 | Q2_K | 3.3 | |
GGUF | IQ3_XS | 3.6 | |
GGUF | Q3_K_S | 3.8 | |
GGUF | IQ3_S | 3.8 | beats Q3_K* |
GGUF | IQ3_M | 3.9 | |
GGUF | Q3_K_M | 4.1 | lower quality |
GGUF | Q3_K_L | 4.4 | |
GGUF | IQ4_XS | 4.6 | |
GGUF | Q4_K_S | 4.8 | fast, recommended |
GGUF | Q4_K_M | 5.0 | fast, recommended |
GGUF | Q5_K_S | 5.7 | |
GGUF | Q5_K_M | 5.8 | |
GGUF | Q6_K | 6.7 | very good quality |
GGUF | Q8_0 | 8.6 | fast, best quality |
GGUF | f16 | 16.2 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.