🧠
Glm 5.1 Mlx Q4.8 Inf model by inferencerlabs
⭐ 55.9
🧠
Model

Glm 5.1 Mlx Q4.8 Inf

by inferencerlabs inferencerlabs/glm-5.1-mlx-q4.8-inf
Free2AITools Nexus Index
55.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 45
P: Popularity 38
R: Recency 100
Q: Quality 65
Tech Context
743.91 Params
8.192K Ctx
Vital Performance
4.3K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 55.9 FNI Score
Massive 743.91B Params
8k Context
4.3K Downloads
H100+ ~561GB Est. VRAM
Dense GLMMOEDSAFORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID inferencerlabs/glm-5.1-mlx-q4.8-inf
Provider huggingface
πŸ’Ύ

Compute Threshold

~560.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization. [Multi-GPU / Unified Memory Required]

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{inferencerlabs_glm_5_1_mlx_q4_8_inf,
  author = {inferencerlabs},
  title = {Glm 5.1 Mlx Q4.8 Inf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/inferencerlabs/GLM-5.1-MLX-Q4.8-INF}},
  note = {Accessed via Free2AITools.}
}
APA Style
inferencerlabs. (2026). Glm 5.1 Mlx Q4.8 Inf [Model]. Free2AITools. https://huggingface.co/inferencerlabs/GLM-5.1-MLX-Q4.8-INF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download inferencerlabs/glm-5.1-mlx-q4.8-inf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 45
Popularity (P) 38
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Glm 5.1 Mlx Q4.8 Inf: Authority (A:45), Popularity (P:38), Recency (R:100), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
4.3KDownloads
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--inferencerlabs--glm-5.1-mlx-q4.8-inf
slug
inferencerlabs--glm-5.1-mlx-q4.8-inf
source
huggingface
author
inferencerlabs
license
tags
mlx, safetensors, glm_moe_dsa, quantized, text-generation, conversational, en, base_model:zai-org/glm-5.1, base_model:quantized:zai-org/glm-5.1, region:us

βš™οΈ Technical Specs

architecture
GlmMoeDsaForCausalLM
params billions
743.91
context length
8,192
pipeline tag
text-generation
vram gb
560.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
4,316
stars
null
forks
null

Data indexed from public sources. Updated daily.