DeepSeek-AI/DeepSeek-V4-Flash-0731
It has the same model structure as DeepSeek-V4-Flash-DSpark, i.e. it comes with a speculative decoding module attached. DeepSeek-V4-Flash-0731 outperforms DeepSeek-V4-Pro (Preview) on benchmarks listed below despite its far smaller activated parameter count, and is broadly competitive with the strongest proprietary models available. Chat Template This release does not include a Jinja-format chat template.
- ▪It has the same model structure as DeepSeek-V4-Flash-DSpark, i.e. it comes with a speculative decoding module attached.
- ▪DeepSeek-V4-Flash-0731 outperforms DeepSeek-V4-Pro (Preview) on benchmarks listed below despite its far smaller activated parameter count, and is broadly competitive with the strongest proprietary models available.
- ▪Chat Template This release does not include a Jinja-format chat template.
2 outlets in our directory ran this story, first to last over 12 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ deepseek-ai/DeepSeek-V4-Flash-0731 — Simon Willison's Weblog
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,177 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Huggingface |
| Canonical URL | https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731 |
| Publication time | Fri, 31 Jul 2026 12:16:08 +0000 |
| Retrieval time | 2026-07-31T12:37:49.360Z |
| Last seen | 2026-07-31T12:37:49.360Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | fyGNMGkuFLBM · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
deepseek-ai / DeepSeek-V4-Flash-0731 like 98 Follow DeepSeek 139k Text Generation Transformers Safetensors deepseek_v4 8-bit precision fp8 arxiv: 2606.19348 License: mit Model card Files Files and versions xet Community 4 Deploy Copy to bucket new Use this model Instructions to use deepseek-ai/DeepSeek-V4-Flash-0731 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers How to use deepseek-ai/DeepSeek-V4-Flash-0731 with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-V4-Flash-0731") # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer =…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Huggingface.
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