What are the hardware requirements for Hippo 6B?

Hippo 6B requires approximately 12.4 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 Hippo 6B and how large is it?

Hippo 6B is developed by Drenel, 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 Hippo 6B?

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

Hippo 6B by Drenel — VRAM 12.4GB, 4K context

Name: Hippo 6B
Author: Drenel

Hippo 6B is an open-source language model by Drenel. Features: 6b LLM, VRAM: 12.4GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.13.

Base model:drenel/hippo-6b Base model:finetune:drenel/hip... Conversational Custom code Drenel Drenel/hippo-6b Endpoints compatible Hippo Llama Multilingual Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Drenel/Hippo-6B

Hippo 6B Parameters and Internals

Model Type

text generation, multi-lingual

Use Cases

Areas:

Research, Commercial Applications

Applications:

Text Generation, Language Translation, Sentiment Analysis, Named Entity Recognition, Text Classification

Primary Use Cases:

NLP Tasks

Training Details

Methodology:

The model incorporates features like Flash Attention, RMS Norm, and Rotary Embeddings to enhance training efficiency and performance.

Context Length:

4096

Model Architecture:

Transformer-based architecture utilizing efficient attention mechanisms like Flash Attention and modular attention classes.

Input Output

Input Format:

<|user|>\nQuestion<|end|>\n<|assistant|>

Output Format:

Generated text

LLM Name	Hippo 6B
Repository 🤗	https://huggingface.co/Drenel/Hippo-6B
Base Model(s)	Hippo 6B Hippo 6B Drenel/Hippo-6B Drenel/Hippo-6B
Model Size	6b
Required VRAM	12.4 GB
Updated	2026-08-02
Maintainer	Drenel
Model Type	llama
Model Files	1.9 GB: 1-of-7 2.0 GB: 2-of-7 1.9 GB: 3-of-7 1.9 GB: 4-of-7 1.9 GB: 5-of-7 2.0 GB: 6-of-7 0.8 GB: 7-of-7
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<s>
Vocabulary Size	32064
Torch Data Type	float16

Rank the Hippo 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

Best Alternatives to Hippo 6B

Best Alternatives	Context / RAM	Downloads	Likes
Yi 6B 200K	195K / 12.1 GB	15244	172
Yi 6B 200K AEZAKMI V2	195K / 12.1 GB	95	1
Yi 6B 200K DPO	195K / 12.1 GB	105	0
Wukong Yi 6B 200K	195K / 12.1 GB	4	1
Barcenas 6B 200K	195K / 12.1 GB	128	2
Yi 6B 200K Llamafied	195K / 12.1 GB	36	11
Yi 6B 200K Llama	195K / 12.1 GB	5	5
Llama 3.2 6B AlgoCode	128K / 12.7 GB	7	1
Chatglm2 6B Port Llama	32K / 12.5 GB	5	4
Miqu 6B Truthy	31K / 11.3 GB	76	1

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