What are the hardware requirements for Diabolic6045 ELN AOC CAIN?

Diabolic6045 ELN AOC CAIN requires approximately 2.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Diabolic6045 ELN AOC CAIN and how large is it?

Diabolic6045 ELN AOC CAIN is developed by mergekit-community, a model with 1b 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 Diabolic6045 ELN AOC CAIN?

Diabolic6045 ELN AOC CAIN is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Diabolic6045 ELN AOC CAIN by mergekit-community — VRAM 2.5GB, 128K context

Name: Diabolic6045 ELN AOC CAIN
Author: mergekit-community

Diabolic6045 ELN AOC CAIN is an open-source language model by mergekit-community. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:pjmixers-dev/diabol... Base model:unsloth/llama-3.2-1... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/diabolic6045_ELN-AOC-CAIN

Diabolic6045 ELN AOC CAIN Parameters and Internals

LLM Name	Diabolic6045 ELN AOC CAIN
Repository 🤗	https://huggingface.co/mergekit-community/diabolic6045_ELN-AOC-CAIN
Base Model(s)	unsloth/Llama-3.2-1B ...iabolic6045 ELN AOC CAIN QLoRA unsloth/Llama-3.2-1B PJMixers-Dev/diabolic6045_ELN-AOC-CAIN-QLoRA
Merged Model	Yes
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-07-29
Maintainer	mergekit-community
Model Type	llama
Model Files	2.5 GB: 1-of-1
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Diabolic6045 ELN AOC CAIN 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

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ISA 02 Nano Llama 3.2 1B	1024K / 2.5 GB	47	3
LWM Text 1M	1024K / 13.5 GB	1149	29
LWM Text Chat 1M	1024K / 13.5 GB	57	173
JOSIE 1M Base	1024K / 13.5 GB	12	1
JOSIE 1M Base	1024K / 13.5 GB	6	1
MiniCPM5 1B MegaMerge Final	512K / 2.2 GB	0	1
MiniCPM5 1B	128K / 2.2 GB	354385	868
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/diabolic6045_ELN-AOC-CAIN.