LocalClaw/LLM/DeepSeek V4.1 Flash
Open-weight MoE

DeepSeek V4.1 Flash

Catalogue summary: Official MIT DeepSeek V4.1 Flash release with CED architecture, CSA2 attention, multimodal input and 1M-token context. Community GGUF artifacts include split Q2_K/Q3/Q4 builds plus a llama.cpp patch path; use only on 256GB+ workstations, with 384GB+ safer.

Repository editorial metadata; verify comparative claims in the linked upstream material.

256 GB catalogue minimum256 GB RAMQ2_KCoding assistant
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This is an advanced workstation/server GGUF path. Unsupported apps are clearly marked.

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LM StudioNot available for this model
Open in UnslothLaunches Unsloth Desktop on this model's download page
OllamaNot available for this model
Open on Hugging FaceFiles, licence and available downloadsOpen llama.cpp setupAdvanced option: opens GGUF files and patch notesUse with LocalClawOptional workspace after the model is installed

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Parameters
552B MoE (8B/16B active)
Minimum RAM
256 GB
Model size
246 GB
Quantization
Q2_K

Can DeepSeek V4.1 Flash run locally?

DeepSeek V4.1 Flash has a catalogue minimum of 256 GB RAM with Q2_K. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Treat deepseek-v4.1-flash as an advanced workstation/server-grade catalogue target with verified GGUF artefacts. Open the GGUF files and follow the upstream runtime notes; LocalClaw does not claim a one-click LM Studio install.

Model sourcePublic GGUF repository (verified 2026-09-23): vcruz305/DeepSeek-V4.1-Flash-GGUFUpstream releasePaper or model cardLicence text
chatcodereasoningvisionagenticbeastlong-context

Deployment path

01
Check RAM fitServer-grade target. Plan for 256 GB class multi-GPU memory.
02
Load the modelOpen the verified GGUF files for deepseek-v4.1-flash and follow the upstream runtime or patch notes first.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: deepseek-flash
  • Parameters: 552B MoE (8B/16B active)
  • Recommended quantization: Q2_K
  • Catalogue minimum RAM: 256 GB
  • Catalogue model size: 246 GB
  • Tags: chat, code, reasoning, vision, agentic, beast, long-context

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • code
  • reasoning
  • vision
  • agentic
  • beast

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
4
quality
10
coding
10
reasoning
10

Technical notes

Developer
DeepSeek AI
License
MIT
Context window
1,048,576 tokens
Architecture
DeepSeek V4.1 Flash is a 552B-parameter multimodal Mixture-of-Experts model using a Causal Encoder-Decoder layout, CSA2 sparse attention, FP4 KV caching, Engram conditional memory and DSpark speculative decoding. DeepSeek reports 8B active parameters during prefill and 16B during decode.

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Very large memoryMac Studio Ultra classCheck model size firstNVIDIA GB10 / server optionsMore practical alternativesCompare smaller models

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

DeepSeek V4 Flash (284B MoE) 284B (13B active)DeepSeek V4 Flash 0731 (284B MoE) 284B (13B active)DeepSeek V4 Flash Vision Exp 284B (13B active, multimodal MoE)GLM-5.2 (744B MoE) 744B (40B active)GLM-5.3-Flash 320B (18B active, MoE)Qwen 3.5 MoE (397B/17B active) 397B (17B active)Qwen3.8 Flash Next 125B + 51B n-gram (6B active)GLM 4.7 355B (32B active, MoE)

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