🧠
Model

Ornith 1.0 35b Mlx Uniform 4bit

by caslca caslca/ornith-1.0-35b-mlx-uniform-4bit
Free2AITools Nexus Index
40.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 8
R: Recency 99
Q: Quality 65
Tech Context
5.87 Params
32.768K Ctx
Vital Performance
101 DL / 30D

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 40.2 FNI Score
5.87B Params
32k Context
101 Downloads
8G GPU ~7GB Est. VRAM
Dense QWEN3_5MOEFORCONDITIONALGENERATION Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID caslca/ornith-1.0-35b-mlx-uniform-4bit
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~6.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{caslca_ornith_1_0_35b_mlx_uniform_4bit,
  author = {caslca},
  title = {Ornith 1.0 35b Mlx Uniform 4bit Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/caslca/Ornith-1.0-35B-mlx-uniform-4bit}},
  note = {Accessed via Free2AITools.}
}
APA Style
caslca. (2026). Ornith 1.0 35b Mlx Uniform 4bit [Model]. Free2AITools. https://huggingface.co/caslca/Ornith-1.0-35B-mlx-uniform-4bit

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ornith-1.0-35b-mlx-uniform-4bit
πŸ€— HF Download
huggingface-cli download caslca/ornith-1.0-35b-mlx-uniform-4bit

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 8
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ornith 1.0 35b Mlx Uniform 4bit: Authority (A:0), Popularity (P:8), Recency (R:99), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
101Downloads
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--caslca--ornith-1.0-35b-mlx-uniform-4bit
slug
caslca--ornith-1.0-35b-mlx-uniform-4bit
source
huggingface
author
caslca
license
MIT
tags
mlx, safetensors, qwen3_5_moe, text-generation, conversational, base_model:ornith-ai/ornith-1.0-35b, base_model:quantized:ornith-ai/ornith-1.0-35b, license:mit, 4-bit, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5MoeForConditionalGeneration
params billions
5.87
context length
32,768
pipeline tag
text-generation
vram gb
6.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
101

Data indexed from public sources. Updated daily.