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Ax Tiel Coder 35b A3b Mlx Axq Mxfp4 Mtp model by AutomatosX
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Model

Ax Tiel Coder 35b A3b Mlx Axq Mxfp4 Mtp

by AutomatosX automatosx/ax-tiel-coder-35b-a3b-mlx-axq-mxfp4-mtp
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 25
R: Recency 96
Q: Quality 65
Tech Context
34.66 Params
32.768K Ctx
Vital Performance
934 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
34.66B Params
32k Context
934 Downloads
H100+ ~32GB Est. VRAM
Dense QWEN3_5MOEFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID automatosx/ax-tiel-coder-35b-a3b-mlx-axq-mxfp4-mtp
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~31.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{automatosx_ax_tiel_coder_35b_a3b_mlx_axq_mxfp4_mtp,
  author = {AutomatosX},
  title = {Ax Tiel Coder 35b A3b Mlx Axq Mxfp4 Mtp Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/AutomatosX/AX-Tiel-Coder-35B-A3B-MLX-AXQ-MXFP4-MTP}},
  note = {Accessed via Free2AITools.}
}
APA Style
AutomatosX. (2026). Ax Tiel Coder 35b A3b Mlx Axq Mxfp4 Mtp [Model]. Free2AITools. https://huggingface.co/AutomatosX/AX-Tiel-Coder-35B-A3B-MLX-AXQ-MXFP4-MTP

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ax-tiel-coder-35b-a3b-mlx-axq-mxfp4-mtp
πŸ€— HF Download
huggingface-cli download automatosx/ax-tiel-coder-35b-a3b-mlx-axq-mxfp4-mtp

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 25
Recency (R) 96
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ax Tiel Coder 35b A3b Mlx Axq Mxfp4 Mtp: Authority (A:29), Popularity (P:25), Recency (R:96), 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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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
934Downloads
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--automatosx--ax-tiel-coder-35b-a3b-mlx-axq-mxfp4-mtp
slug
automatosx--ax-tiel-coder-35b-a3b-mlx-axq-mxfp4-mtp
source
huggingface
author
AutomatosX
license
Apache-2.0
tags
mlx, safetensors, qwen3_5_moe, axquant, mxfp4, mtp, development, text-generation, conversational, license:mit, 4-bit, region:us, apple-silicon, quantized, mixed-precision, axq, qwen3.5-moe, vision, license:apache-2.0

βš™οΈ Technical Specs

architecture
Qwen3_5MoeForConditionalGeneration
params billions
34.66
context length
32,768
pipeline tag
text-generation
vram gb
31.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 5GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
934

Data indexed from public sources. Updated daily.