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Gigachat3.1 Audio 10b A1.8b model by Ai Sage
⭐ 59.6
🧠
Model

Gigachat3.1 Audio 10b A1.8b

by Ai Sage ai-sage/gigachat3.1-audio-10b-a1.8b
Free2AITools Nexus Index
59.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51
P: Popularity 61
R: Recency 94
Q: Quality 65
Tech Context
10 Params
4.096K Ctx
Vital Performance
189.5K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 59.6 FNI Score
10B Params
4k Context
Hot 189.5K Downloads
24G GPU ~9GB Est. VRAM
Dense GIGACHATAUDIOFORCONDITIONALGENERATION Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID ai-sage/gigachat3.1-audio-10b-a1.8b
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ai_sage_gigachat3_1_audio_10b_a1_8b,
  author = {Ai Sage},
  title = {Gigachat3.1 Audio 10b A1.8b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ai-sage/GigaChat3.1-Audio-10B-A1.8B}},
  note = {Accessed via Free2AITools.}
}
APA Style
Ai Sage. (2026). Gigachat3.1 Audio 10b A1.8b [Model]. Free2AITools. https://huggingface.co/ai-sage/GigaChat3.1-Audio-10B-A1.8B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gigachat3.1-audio-10b-a1.8b
πŸ€— HF Download
huggingface-cli download ai-sage/gigachat3.1-audio-10b-a1.8b
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 51
Popularity (P) 61
Recency (R) 94
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gigachat3.1 Audio 10b A1.8b: Authority (A:51), Popularity (P:61), Recency (R:94), 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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πŸš€ What's Next?

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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
189.5KDownloads
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--ai-sage--gigachat3.1-audio-10b-a1.8b
slug
ai-sage--gigachat3.1-audio-10b-a1.8b
source
huggingface
author
Ai Sage
license
MIT
tags
gigachat_audio, text-generation, transformers, safetensors, audio, speech, asr, speech-translation, audio-understanding, temporal-grounding, multimodal, moe, conversational, custom_code, ru, en, arxiv:2607.10387, base_model:ai-sage/gigachat3.1-10b-a1.8b, base_model:finetune:ai-sage/gigachat3.1-10b-a1.8b, license:mit, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
GigaChatAudioForConditionalGeneration
params billions
10
context length
4,096
pipeline tag
text-generation
vram gb
8.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
189,504
stars
null
forks
null

Data indexed from public sources. Updated daily.