What are the hardware requirements for HelpingAI2 6B?

HelpingAI2 6B requires approximately 11.7 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed HelpingAI2 6B and how large is it?

HelpingAI2 6B is developed by OEvortex, a model with 6b 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 HelpingAI2 6B?

HelpingAI2 6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

HelpingAI2 6B by OEvortex — VRAM 11.7GB, 8K context

Name: HelpingAI2 6B
Author: OEvortex

HelpingAI2 6B is an open-source language model by OEvortex. Features: 6b LLM, VRAM: 11.7GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.13.

Conversational Dataset:abhaykoul/emotions Dataset:abhaykoul/human-emotio... Dataset:jeankaddour/minipile Dataset:oevortex/emotionalinte... Dataset:oevortex/sentimentsynt... Dataset:oevortex/vortex-mini Emotionally intelligent En Endpoints compatible Eq Gguf Helpingai Llama Q4 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OEvortex/HelpingAI2-6B

HelpingAI2 6B Parameters and Internals

Model Type

text-generation

Supported Languages

en (fluent)

Training Details

Data Sources:

OEvortex/SentimentSynth, JeanKaddour/minipile, OEvortex/vortex-mini, OEvortex/EmotionalIntelligence-75K, Abhaykoul/EMOTIONS, Abhaykoul/human-emotion

Methodology:

Supervised Learning, Reinforcement Learning, Constitution Training, Knowledge Augmentation

LLM Name	HelpingAI2 6B
Repository 🤗	https://huggingface.co/OEvortex/HelpingAI2-6B
Model Size	6b
Required VRAM	11.7 GB
Updated	2024-12-05
Maintainer	OEvortex
Model Type	llama
Model Files	3.6 GB 5.0 GB: 1-of-3 5.0 GB: 2-of-3 1.7 GB: 3-of-3
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the HelpingAI2 6B 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

Quantized Models of the HelpingAI2 6B

Model	Likes	Downloads	VRAM
NSFW 6B	32	39460	11 GB
HELVETE	39	1112	11 GB

Best Alternatives to HelpingAI2 6B

Best Alternatives	Context / RAM	Downloads	Likes
NSFW 6B	8K / 11.7 GB	39460	32
HELVETE	8K / 11.7 GB	1112	39
HelpingAI2 6B	8K / 11.7 GB	221	5
Yi 1.5 6B Chat GGUF	4K / 2.3 GB	547	3
Yi 1.5 6B Chat GGUF	4K / 2.3 GB	257	1
Yi 1.5 6B Chat IMat GGUF	4K / 1.4 GB	42	0
Yi 6B Chat GGUF	4K / 2.3 GB	229	0
...i 6B 200K AEZAKMI V2 6bpw EXL2	195K / 4.9 GB	7	3
Yi 6B 200K 8.0bpw H8 EXL2	195K / 6.3 GB	11	1
Yi 6B 200K 6.0bpw H6 EXL2	195K / 4.9 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than OEvortex/HelpingAI2-6B.