🧠
Fluid 1 Mini 2b Mlx 6bit model by Altic Dev
⭐ 40.6
🧠
Model

Fluid 1 Mini 2b Mlx 6bit

by Altic Dev altic-dev/fluid-1-mini-2b-mlx-6bit
Free2AITools Nexus Index
40.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 11
R: Recency 98
Q: Quality 65
Tech Context
0.41B Params
32.768K Ctx
Vital Performance
148 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 40.6 FNI Score
Tiny 0.41B Params
32k Context
148 Downloads
8G GPU ~3GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID altic-dev/fluid-1-mini-2b-mlx-6bit
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{altic_dev_fluid_1_mini_2b_mlx_6bit,
  author = {Altic Dev},
  title = {Fluid 1 Mini 2b Mlx 6bit Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/altic-dev/Fluid-1-Mini-2B-MLX-6bit}},
  note = {Accessed via Free2AITools.}
}
APA Style
Altic Dev. (2026). Fluid 1 Mini 2b Mlx 6bit [Model]. Free2AITools. https://huggingface.co/altic-dev/Fluid-1-Mini-2B-MLX-6bit

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run fluid-1-mini-2b-mlx-6bit
πŸ€— HF Download
huggingface-cli download altic-dev/fluid-1-mini-2b-mlx-6bit

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 11
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Fluid 1 Mini 2b Mlx 6bit: Authority (A:0), Popularity (P:11), Recency (R:98), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Deployment reference

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Technical Deep Dive

⚠️ 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 β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
148Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--altic-dev--fluid-1-mini-2b-mlx-6bit
slug
altic-dev--fluid-1-mini-2b-mlx-6bit
source
huggingface
author
Altic Dev
license
Other
tags
mlx, safetensors, qwen3_5, fluiddecode, dflash, 6-bit, on-device, fluid-1, fluidvoice, text-generation, conversational, base_model:qwen/qwen3.5-2b, base_model:quantized:qwen/qwen3.5-2b, license:other, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
0.41
context length
32,768
pipeline tag
text-generation
vram gb
2.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
148

Data indexed from public sources. Updated daily.