What are the hardware requirements for Colibri 8B V0.1?

Colibri 8B V0.1 requires approximately 16.1 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 Colibri 8B V0.1 and how large is it?

Colibri 8B V0.1 is developed by CyberNative-AI, a model with 8b 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 Colibri 8B V0.1?

Colibri 8B V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Colibri 8B V0.1 by CyberNative-AI — VRAM 16.1GB, 8K context

Name: Colibri 8B V0.1
Author: CyberNative-AI

Colibri 8B V0.1 is an open-source language model by CyberNative-AI. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.13.

Conversational Cybersec Cybersecurity En Endpoints compatible Llama Llama3 Region:us Safetensors Security Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/CyberNative-AI/Colibri_8b_v0.1

Colibri 8B V0.1 Parameters and Internals

Model Type

text generation, conversational AI

Use Cases

Areas:

cybersecurity

Applications:

conversational AI for cybersecurity

Primary Use Cases:

interactive cybersecurity assistant

Supported Languages

en (proficient)

Training Details

Data Sources:

cybersecurity related texts

Data Volume:

35k Q/A pairs

Methodology:

Fine-tuned on dolphin-2.9-llama3-8b using FFT on all parameters

Training Time:

3 hours

Hardware Used:

single A100 80gb

Model Architecture:

Llama3

Input Output

Input Format:

ChatML prompt template

Accepted Modalities:

text

Output Format:

text-based responses

LLM Name	Colibri 8b V0.1
Repository 🤗	https://huggingface.co/CyberNative-AI/Colibri_8b_v0.1
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-17
Maintainer	CyberNative-AI
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128258
Torch Data Type	bfloat16

Rank the Colibri 8B V0.1 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 Colibri 8B V0.1

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than CyberNative-AI/Colibri_8b_v0.1.