deepseek-ai/DeepSeek-V4-Flash-DSpark

text-generation model by deepseek-ai

Open original source ↗

Older snapshot: check the original source for current information.

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

Technical Report👁️ 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 We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models — DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated) — both supporting a context length of one million tokens. DeepSeek-V4 series incorporate several key upgrades in architecture and optimization: We pre-train both models on more than 32T diverse and high-quality tokens, followed by a comprehensive post-training pipeline. The post-training features a two-stage paradigm: independent cultivation of domain-specific experts (through SFT and RL with GRPO), followed by unified model consolidation via on-policy distillation, integrating distinct proficiencies across diverse domains into a single model. DeepSeek-V4-Pro-Max, the maximum reasoning effort mode of DeepSeek-V4-Pro, significantly advances the…

deepseek-ai/DeepSeek-V4-Flash-DSpark on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T16:51:00.081Z

Inside the original model card — Document outline
  1. DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
  2. Introduction
  3. Model Downloads
  4. Evaluation Results
  5. Base Model
  6. Instruct Model
  7. DeepSeek-V4-Pro-Max vs Frontier Models
  8. Comparison across Modes
  9. Chat Template
  10. How to Run with vLLM
  11. How to Run Locally
  12. License

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

deepseek-ai/DeepSeek-V4-Flash-DSpark is a text-generation model repository published by deepseek-ai on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-generation
Library
transformers
Recent downloads (30 days)
870,368
Cumulative likes
283
Hugging Face trending score
0
Reported safetensors parameters
165,265,454,782
Architecture
DeepseekV4ForCausalLM
License
mit
Access
Not gated by Hugging Face
Created
2026-06-27T02:27:36.000Z
Last modified
2026-07-04T03:15:12.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:29.821Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

openai-community/gpt2

Qwen/Qwen3-0.6B

Qwen/Qwen3-14B

Qwen/Qwen3-4B

Qwen/Qwen3-8B

deepseek-ai/DeepSeek-V3.2