base_model: DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v2
language:
- en
library_name: transformers
license: other
license_link: https://www.liquid.ai/community-license
license_name: liquid-foundation-model-community-license
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - duo-neural
- agentic
- coding
- function-calling
- hermes
- liquid-foundation-model
- moe
- abliterated
- code
- evalplus
- reasoning
- system2
About
static quants of https://huggingface.co/DuoNeural/LFM2.5-8B-A1B-Hermes-Agentic-Coder-Abliterated-v2
For a convenient overview and download list, visit our model page for this model.
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 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 | Q4_K_S | 5.0 | fast, recommended |
| GGUF | f16 | 17.0 | 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.