What are the hardware requirements for Iambe 20B DARE AWQ?

Iambe 20B DARE AWQ requires approximately 10.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Iambe 20B DARE AWQ and how large is it?

Iambe 20B DARE AWQ is developed by TheBloke, a model with 20b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Iambe 20B DARE AWQ?

Iambe 20B DARE AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Iambe 20B DARE AWQ by TheBloke — VRAM 10.9GB, 4K context

Name: Iambe 20B DARE AWQ
Author: TheBloke

Iambe 20B DARE AWQ is an open-source language model by TheBloke. Features: 20b LLM, VRAM: 10.9GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.1.

4-bit Awq Base model:athirdpath/iambe-20... Base model:quantized:athirdpat... Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheBloke/Iambe-20B-DARE-AWQ

Iambe 20B DARE AWQ Parameters and Internals

Model Type

llama

Use Cases

Considerations:

This model is uncensored, and the output/deployment of this model is the responsibility of the user.

Additional Notes

The model aims to have a strong understanding of anatomy and scene state while maintaining a personable and authentic voice.

Training Details

Methodology:

The model uses a merge method called 'dare_ties', combining elements from several other models, including NeverSleep/Noromaid-20b-v0.1.1, athirdpath/Eileithyia-20b, and athirdpath/CleverGirl-20b-Blended.

Context Length:

4096

Input Output

Input Format:

Alpaca formatting: 'Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:'

LLM Name	Iambe 20B DARE AWQ
Repository 🤗	https://huggingface.co/TheBloke/Iambe-20B-DARE-AWQ
Model Name	Iambe 20B Dare
Model Creator	LadyBabyloin
Base Model(s)	Iambe 20B DARE athirdpath/Iambe-20b-DARE
Model Size	20b
Required VRAM	10.9 GB
Updated	2026-07-29
Maintainer	TheBloke
Model Type	llama
Model Files	10.0 GB: 1-of-2 0.9 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Iambe 20B DARE AWQ capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Iambe 20B DARE AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Norocetacean 20B 10K AWQ	10K / 10.9 GB	11	2
Orca2myth7.2 AWQ	4K / 10.9 GB	7	3
DaringMaid 20B AWQ	4K / 10.9 GB	2	2
Rose Kimiko 20B AWQ	4K / 10.9 GB	0	1
Nethena 20B Glued AWQ	4K / 10.9 GB	4	2
Iambe Storyteller 20B AWQ	4K / 10.9 GB	7	1
Noromaid 20B V0.1.1 AWQ	4K / 10.9 GB	5	4
Rose 20B AWQ	4K / 10.9 GB	1	1
Nethena 20B AWQ	4K / 10.9 GB	8	2
MXLewd L2 20B AWQ	4K / 10.9 GB	9	3

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Iambe-20B-DARE-AWQ.