🧠
Qwen3 4b Instruct 2507 Mlx 8bit model
⭐ 23.2
🧠
Model

Qwen3 4b Instruct 2507 Mlx 8bit

huggingface_deepspec-model/lmstudio-community/qwen3-4b-instruct-2507-mlx-8bit
Free2AITools Nexus Index
23.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 23
Tech Context
4 Params
4.096K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 23.2 FNI Score
4B Params
4k Context
0 Downloads
8G GPU ~5GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID huggingface_deepspec-model/lmstudio-community/qwen3-4b-instruct-2507-mlx-8bit
Shape L36 D2560
Provider Hugging Face
πŸ’Ύ

Compute Threshold

~4.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{huggingface_deepspec_model_lmstudio_community_qwen3_4b_instruct_2507_mlx_8bit,
  title = {Qwen3 4b Instruct 2507 Mlx 8bit Model},
  howpublished = {\url{https://huggingface.co/huggingface_deepspec-model/lmstudio-community--qwen3-4b-instruct-2507-mlx-8bit}},
  note = {Accessed via Free2AITools.}
}
APA Style
Qwen3 4b Instruct 2507 Mlx 8bit [Model]. Free2AITools. https://huggingface.co/huggingface_deepspec-model/lmstudio-community--qwen3-4b-instruct-2507-mlx-8bit

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-4b-instruct-2507-mlx-8bit
πŸ€— HF Download
huggingface-cli download huggingface_deepspec-model/lmstudio-community/qwen3-4b-instruct-2507-mlx-8bit

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) 0
Recency (R) 100
Quality (Q) 23

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 4b Instruct 2507 Mlx 8bit: Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:23). 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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⚠️ 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
πŸ“¦Data Source: Unknown
πŸ”„ Updated daily

Source summary: Based on Unknown 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--huggingface_deepspec-model--lmstudio-community--qwen3-4b-instruct-2507-mlx-8bit
slug
huggingface_deepspec-model--lmstudio-community--qwen3-4b-instruct-2507-mlx-8bit
author
Community
tags
qwen, 3.1B, text-generation

βš™οΈ Technical Specs

params billions
4
context length
4,096
vram gb
4.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.