deepseek-ai / text-generation updated 1 month ago

DeepSeek-V4-Flash-DSpark

Name: DeepSeek-V4-Flash-DSpark
Author: deepseek-ai

Note: DeepSeek-V4-Flash-DSpark is not a new model. It is the same checkpoint with an additional speculative decoding module attached. A minimal inference example is available in the inference folder. For more details, refer to: https://github.com/deepseek-ai/DeepSpec

Params

165.3 B

Context

1,048,576

Downloads 30d

519 K

Likes

244

Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

519 K442 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	i8	166.9 GB	208.9 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 1024K ctx	166.9 GB	3,357.3 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/deepseek-v4-flash-dspark
{
  "hf_id": "deepseek-ai/DeepSeek-V4-Flash-DSpark",
  "params_b": 165.27,
  "context_length": 1048576,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 519483,
  "vram_estimates": [
    { "quant": "i8", "gb": 208.9 }
  ],
  "updated_at": "2026-07-28T18:05:33Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: DeepseekV4ForCausalLM
Parameters: 165.3 B
Tensor type: I8
Context length: 1,048,576
Vocabulary: 129,280
Layers / heads: 43 / 64
Licence: mit
First seen on the Hub: 2026-06-27
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

gpt-oss-120b 4.2 M NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 2.8 M DeepSeek-V4-Flash 2.7 M Qwen3-Coder-Next-FP8 2.2 M Qwen-72B 2.2 M DeepSeek-V4-Flash-NVFP4 1.1 M

Appears in

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