🧠
Deepseek V4 Flash W4a16 Fp8 model by Canada Quant
⭐ 57.1
🧠
Model

Deepseek V4 Flash W4a16 Fp8

by Canada Quant canada-quant/deepseek-v4-flash-w4a16-fp8
Free2AITools Nexus Index
57.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 47
P: Popularity 42
R: Recency 96
Q: Quality 65
Tech Context
44.1 Params
4.096K Ctx
Vital Performance
7.4K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 57.1 FNI Score
44.1B Params
4k Context
7.4K Downloads
H100+ ~36GB Est. VRAM
Dense DEEPSEEKV4FORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID canada-quant/deepseek-v4-flash-w4a16-fp8
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~35.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{canada_quant_deepseek_v4_flash_w4a16_fp8,
  author = {Canada Quant},
  title = {Deepseek V4 Flash W4a16 Fp8 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/canada-quant/DeepSeek-V4-Flash-W4A16-FP8}},
  note = {Accessed via Free2AITools.}
}
APA Style
Canada Quant. (2026). Deepseek V4 Flash W4a16 Fp8 [Model]. Free2AITools. https://huggingface.co/canada-quant/DeepSeek-V4-Flash-W4A16-FP8

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run deepseek-v4-flash-w4a16-fp8
πŸ€— HF Download
huggingface-cli download canada-quant/deepseek-v4-flash-w4a16-fp8

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 47
Popularity (P) 42
Recency (R) 96
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Deepseek V4 Flash W4a16 Fp8: Authority (A:47), Popularity (P:42), 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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πŸš€ What's Next?

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Deployment reference

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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
7.4KDownloads
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--canada-quant--deepseek-v4-flash-w4a16-fp8
slug
canada-quant--deepseek-v4-flash-w4a16-fp8
source
huggingface
author
Canada Quant
license
MIT
tags
vllm, safetensors, deepseek_v4, deepseek, compressed-tensors, w4a16, gptq, fp8, mixture-of-experts, moe, text-generation, en, zh, base_model:deepseek-ai/deepseek-v4-flash, license:mit, region:us

βš™οΈ Technical Specs

architecture
DeepseekV4ForCausalLM
params billions
44.1
context length
4,096
pipeline tag
text-generation
vram gb
35.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
7,380
stars
null
forks
null

Data indexed from public sources. Updated daily.