Update README.md

README.md

@@ -28,13 +28,12 @@ pipeline_tag: text-generation
 LIMI is an agentic model fine‑tuned from [GLM‑4.5](https://huggingface.co/zai-org/GLM-4.5) using compact, high‑quality data to emphasize:
 
 - Targeted capabilities: tool use, multi‑turn correction, spec compliance
-- Long‑context trajectory with tokenizer‑filtered samples (≤128k tokens)
+- Long‑context trajectory with tokenizer‑filtered samples
 - OpenAI‑style `messages` with optional function/tool calls
 
 ## Model Details
 
 - Base model: `zai-org/GLM-4.5`
-- Context: up to 128k tokens (training budget)
 - Training framework: slime
 - Training data: curated conversations from [GAIR/LIMI](https://huggingface.co/datasets/GAIR/LIMI)
 
@@ -59,7 +58,7 @@ Our LIMO model is available on Hugging Face 🤗:
 
 We release our datasets through Hugging Face 🤗:
 - Name: `GAIR/LIMI`
-- Summary: curated agentic SFT data (OpenAI `messages`, optional `tools`, normalized tool‑call arguments), filtered by tokenizer to ≤128k tokens; current release contains ~78 high‑quality samples.
+- Summary: curated agentic SFT data (OpenAI `messages`, optional `tools`, normalized tool‑call arguments); current release contains ~78 high‑quality samples.
 - Link: https://huggingface.co/datasets/GAIR/LIMI
 
 ## Quick Start