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Model: cygnisai/Cygnis-Alpha-2-8B-v0.2
Source: Original Platform

2026-05-31 16:31:20 +08:00

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Cygnis-Alpha-2-8B-v0.2 (Merge Version)

Cygnis-Alpha-2-8B-v0.2 is a next-generation large language model developed by CygnisAI. This version is the result of a strategic Model Merge, engineered to surpass the native reasoning capabilities of Llama 3.1 8B while maintaining optimal computational efficiency for enterprise-scale deployments.

Architecture & Development

The model is built upon the Llama 3.1 architecture (Auto-regressive Transformer). The CygnisAI team leveraged Unsloth for accelerated Supervised Fine-Tuning (SFT) and applied advanced Model Merging techniques to sharpen technical and professional response accuracy.

Feature	Specification
Developer	CygnisAI
Base Model	Meta Llama 3.1 8B (Finetuned via Unsloth)
Context Length	128k tokens
Optimization	Multilingual (Primary focus: EN/FR)
Knowledge Cutoff	December 2023
License	Apache 2.0

Performance & Benchmarks

Cygnis v0.2 has been rigorously tested against internal benchmarks to ensure production-grade stability. It shows significant improvements in Instruction Following for complex, multi-step tasks compared to the v0.1 release.

MMLU (Reasoning): ~69.8%
IFEval (Strict Instruction): ~81.2%
HumanEval (Coding): ~72.9%

Quick Start

Via Transformers (Pipeline)

import transformers
import torch

model_id = "cygnisai/Cygnis-Alpha-2-8B-v0.2"

pipeline = transformers.pipeline(
    "text-generation", 
    model=model_id, 
    model_kwargs={"torch_dtype": torch.bfloat16}, 
    device_map="auto"
)

messages = [
    {"role": "system", "content": "You are Cygnis, the official enterprise AI assistant."},
    {"role": "user", "content": "Analyze the scalability requirements for our LLM infrastructure."}
]

print(pipeline(messages, max_new_tokens=256))

Official Prompt Format

The model follows the standard Llama 3.1 chat template:

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Responsibility & Safety

In alignment with CygnisAI’s commitment to responsible AI:

Guardrails: The model integrates filters to mitigate malicious content, disinformation, and unintended biases.
Transparency: While highly capable, Cygnis should not be used without human oversight for critical decision-making (Medical, Legal, Financial).
License: This model is released under the Apache License 2.0, offering maximum flexibility for commercial and private use.

Legal Notice

This model was finetuned using the Unsloth library. While the underlying architecture is based on Llama 3.1, the specific weights of Cygnis-Alpha-2-8B-v0.2 are provided under the Apache 2.0 terms.
Built with Llama.

Citation

@misc{cygnis_alpha_2_v0.1,
  author    = {Simonc-44},
  title     = {The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/Simonc-44/Cygnis-Alpha-2-8B-v0.1}
  eprint={2204.05149},
  archivePrefix={arXiv},
}

Professional Contact & Support: cygnisai/contact
Driven by innovation and corporate-grade rigor at CygnisAI.

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