Hemmingway-1: The AI that writes like a person
Hemmingway-1 It writes the best everyday messages of any model we tested And it is the one that sounds like a person Where it wins You get the message, not a memo It reads the room It tells a decent story too Run it The fine print Hemmingway-1 The AI that writes like a person. Weights → · Try it → · Mac and Android apps → · Code → Ask most models for a text to your landlord and you get three options, a preamble, and a paragraph explaining the options. We built it for the writing people actually do every day: messages, emails, the awkward note to a colleague, the thing you have been putting off.
- ▪Hemmingway-1 It writes the best everyday messages of any model we tested And it is the one that sounds like a person Where it wins You get the message, not a memo It reads the room It tells a decent story too Run it The fine print Hemmingwa
- ▪Weights → · Try it → · Mac and Android apps → · Code → Ask most models for a text to your landlord and you get three options, a preamble, and a paragraph explaining the options.
- ▪We built it for the writing people actually do every day: messages, emails, the awkward note to a colleague, the thing you have been putting off.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,873 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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/Altworld/Hemmingway-1 |
| Publication time | Mon, 21 Sep 2026 14:04:22 +0000 |
| Retrieval time | 2026-09-21T14:28:48.770Z |
| Last seen | 2026-09-21T14:28:48.770Z |
| 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 | 5j1Jtu0Hm-RY · 1 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
Altworld / Hemmingway-1 Like 269 Follow Altworld 58 Text Generation Transformers Safetensors English qwen3_5_text qwen3.8 chat creative-writing altworld conversational License: apache-2.0 Model card Files Files and versions xet Community 3 Deploy Copy to bucket new Use this model Instructions to use Altworld/Hemmingway-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers How to use Altworld/Hemmingway-1 with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Altworld/Hemmingway-1") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages) # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Huggingface.
Discussion
0 commentsMore from Huggingface
