🧠
Darwin 27b Opus Mlx Bf16 model by TheCluster
⭐ 38.8
🧠
Model

Darwin 27b Opus Mlx Bf16

by TheCluster hf-model--thecluster--darwin-27b-opus-mlx-bf16
Nexus Index
38.8 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 9
R: Recency 97
Q: Quality 65
Tech Context
27 Params
4.096K Ctx
Vital Performance
108 DL / 30D
0.0%
Source →
Audited 38.8 FNI Score
27B Params
4k Context
108 Downloads
24G GPU ~22GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--thecluster--darwin-27b-opus-mlx-bf16
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~21.6GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__thecluster__darwin_27b_opus_mlx_bf16,
  author = {TheCluster},
  title = {Darwin 27b Opus Mlx Bf16 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/thecluster/darwin-27b-opus-mlx-bf16}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
TheCluster. (2026). Darwin 27b Opus Mlx Bf16 [Model]. Free2AITools. https://huggingface.co/thecluster/darwin-27b-opus-mlx-bf16

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run darwin-27b-opus-mlx-bf16
🤗 HF Download
huggingface-cli download thecluster/darwin-27b-opus-mlx-bf16

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
38.8
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 9
Recency (R) 97
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Darwin 27b Opus Mlx Bf16: Semantic (S:50), Authority (A:0), Popularity (P:9), Recency (R:97), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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Deployment Guide

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Technical Deep Dive

Darwin-27B-Opus

Quality: original (bfloat16)

Darwin-27B-Opus is a 27-billion-parameter language model produced entirely through evolutionary crossbreeding of pretrained models, requiring zero additional training, zero data, and a single GPU. On the GPQA Diamond benchmark — a graduate-level scientific reasoning evaluation comprising 198 expert-crafted questions in physics, chemistry, and biology — Darwin-27B-Opus achieves 86.9%, surpassing its progenitor Qwen3.5-27B (85.5%) by +1.4 percentage points and securing 5th place on the HuggingFace GPQA leaderboard.

Model Specifications
Architecture Qwen3.5 Dense (GatedDeltaNet)
Parameters 27B
Hidden Size 4096
Intermediate Size 17408
Layers 64
Context Length 262,144 (extensible to 1M via YaRN)
Precision BF16
Languages 201
Thinking Mode Enabled

Parent Models

Role Model Contribution
Father (Structure) Qwen/Qwen3.5-27B Foundation architecture, native reasoning, 201-language support
Mother (Knowledge) Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled Claude 4.6 Opus structured reasoning patterns via SFT distillation

Both parents share identical architecture: hidden_size=4096, intermediate_size=17408, 64 layers — ensuring 100% structural compatibility for FFN crossbreeding.

Source

This model was converted to MLX format from FINAL-Bench/Darwin-27B-Opus using mlx-vlm version 0.4.4.

⚠ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
108Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--thecluster--darwin-27b-opus-mlx-bf16
slug
thecluster--darwin-27b-opus-mlx-bf16
source
huggingface
author
TheCluster
license
Apache-2.0
tags
mlx, safetensors, qwen3_5, image-text-to-text, conversational, en, zh, ru, es, fr, it, ja, ko, af, de, ar, tr, is, pl, sw, sv, nl, he, id, uk, fa, pa, pt, ms, fi, el, base_model:final-bench/darwin-27b-opus, base_model:finetune:final-bench/darwin-27b-opus, license:apache-2.0, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
27
context length
4,096
pipeline tag
image-text-to-text
vram gb
21.6
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
108
stars
0
forks
0

Data indexed from public sources. Updated daily.