Card text in the human style, two targeted links

README.md

@@ -18,7 +18,7 @@ new_version: reflection/Beam-1.0-501B-A23B
 
 **Our token-count test matched Cat Jam to MISSINGNO. on all 24 phrases, a day before Reflection named both as previews of Beam.**
 
-*Independent benchmark card by [Stealth Models](https://stealthmodels.com/?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card): our test results and findings for this model.*
+By [Stealth Models](https://stealthmodels.com/?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card).
 
 StealthMark results for the released Beam 1.0:
 
@@ -26,14 +26,11 @@ StealthMark results for the released Beam 1.0:
 
 <a href="https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card"><img src="https://huggingface.co/stealth-model/cat-jam/resolve/main/panels/results.webp" alt="Every StealthMark result of the released Beam 1.0: Beach 52.4, Foresight 49.4, Raccoon 46.3, Selfie 45.4, Latch 37.3, Ground Truth 27.9, Newton's Mirror 21.7, Mona Lisa 0.7."></a>
 
-**Open each result** · Visual Intelligence: [Beach&nbsp;52.4](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/beach?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card) · [Raccoon&nbsp;46.3](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/raccoon?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card) · [Selfie&nbsp;45.4](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/selfie?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card) · [Mona&nbsp;Lisa&nbsp;0.7](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/mona-lisa?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card)<br>
-General Intelligence: [Foresight&nbsp;49.4](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card#game-foresight-self-improvement) · [Latch&nbsp;37.3](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card#game-latch-five-levels) · [Ground&nbsp;Truth&nbsp;27.9](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/ground-truth?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card) · [Newton's&nbsp;Mirror&nbsp;21.7](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/newtons-mirror?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card)
-
-**[All results and comparisons on stealthmodels.com ↗](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card)**
+[See the token-count comparison](https://stealthmodels.com/cat-jam?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card#tokenizer-details)
 
 <a href="https://stealthmodels.com/cat-jam/?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card"><img src="https://huggingface.co/stealth-model/cat-jam/resolve/main/panels/case.webp" alt="The case file. First seen 13 Oct 2026, revealed 16 Oct 2026, developer Reflection AI, context 1,048,576 tokens, input Text, tool calls Yes, speed in our tests unknown. 13 Oct 2026: Appears as a stealth model for fast agentic coding, with no developer named. 15 Oct 2026, our finding: Our token-count test matches its 24 counts to MISSINGNO. 16 Oct 2026: Reflection names the Cat Jam demo as a Beam preview and releases Beam 1.0 under Apache 2.0."></a>
 
-Sources: [Reflection's Beam release post](https://reflection.ai/blog/beam-is-available) · [our token-count comparison](https://stealthmodels.com/cat-jam/?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card)
+[Compare Beam with MiMo-V2.6-Flash](https://stealthmodels.com/compare/beam-1.0-501b-a23b-vs-mimo-v2.6-flash?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card)
 
 <details><summary>Facts as text</summary>
 
@@ -51,8 +48,8 @@ Sources: [Reflection's Beam release post](https://reflection.ai/blog/beam-is-ava
 </details>
 
 ## Run it
-Official weights of the released Beam [reflection/Beam-1.0-501B-A23B](https://huggingface.co/reflection/Beam-1.0-501B-A23B) · license: Apache 2.0, [read it](https://huggingface.co/reflection/Beam-1.0-501B-A23B/blob/main/LICENSE) · GGUF: [Unsloth](https://huggingface.co/unsloth/Beam-1.0-501B-A23B-GGUF) · Local: 501B parameters, 23B active; this needs a large multi-GPU server.
+Beam 1.0 is open under Apache 2.0: [reflection/Beam-1.0-501B-A23B](https://huggingface.co/reflection/Beam-1.0-501B-A23B). Even in 2-bit it needs about 130 GB. GGUF files: [unsloth/Beam-1.0-501B-A23B-GGUF](https://huggingface.co/unsloth/Beam-1.0-501B-A23B-GGUF).
 
 ---
-[Model guide](https://stealthmodels.com/cat-jam/?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card) · [StealthMark](https://stealthmodels.com/stealthmark?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card) · [Play the benchmarks](https://stealthmodels.com/play?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card) · [Follow for new reveals](https://huggingface.co/stealth-model)<br>
-This card and its images: CC BY 4.0, credit stealthmodels.com. The model's weights have their own license. Updated 28 October 2026.
+[Model guide](https://stealthmodels.com/cat-jam/?utm_source=huggingface&utm_medium=referral&utm_campaign=cat-jam-card) · [StealthMark leaderboard](https://huggingface.co/spaces/stealth-model/stealthmark) · [Follow us](https://huggingface.co/stealth-model)<br>
+Text and images: CC BY 4.0, stealthmodels.com.