base_model: ICONNAI/ICONN-1
extra_gated_fields:
Country: country
Date of agreement: date_picker
Full name: text
I agree to all terms in the ICONN AI License Agreement, including:
options:
- >-
I will NOT use this model for commercial purposes without explicit
written permission.
- >-
I will NOT redistribute, upload, or share this model in any public or
private repository.
- I will NOT train new models or derivatives from this model.
- >-
I will NOT use this model for unethical, harmful, deceptive,
exploitative, or surveillance purposes.
- I understand this license may be revoked if I breach any terms.
type: checkbox
I am using this model for:
options:
- Personal use
- Internal business use
- Academic research
- Educational purposes
- label: Other (explain below)
value: other
type: select
Organization (if any): text
Purpose explanation (if "Other"): text
extra_gated_prompt: >
By accessing or downloading this model, you agree to the ICONN AI License
Agreement. This includes restrictions on commercial use, redistribution,
derivative model training, and uploading to public or private repositories.
You may not use this model to harm, surveil, deceive, exploit, manipulate, or
conduct unethical AI research. All use must comply with ethical standards and
respect human dignity.
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- emotional-ai
- ICONN
- chatbot
- base
About
static quants of https://huggingface.co/ICONNAI/ICONN-1
weighted/imatrix quants are available at https://huggingface.co/mradermacher/ICONN-1-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 | 30.9 | |
| GGUF | Q3_K_S | 36.5 | |
| GGUF | Q3_K_M | 40.3 | lower quality |
| GGUF | Q3_K_L | 43.6 | |
| GGUF | IQ4_XS | 45.5 | |
| GGUF | Q4_K_S | 47.9 | fast, recommended |
| PART 1 PART 2 | Q4_K_M | 51.0 | fast, recommended |
| PART 1 PART 2 | Q5_K_S | 57.9 | |
| PART 1 PART 2 | Q5_K_M | 59.7 | |
| PART 1 PART 2 | Q6_K | 69.0 | very good quality |
| PART 1 PART 2 | Q8_0 | 89.3 | fast, best quality |
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.