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@@ -25,10 +25,10 @@ pipeline_tag: text-generation
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  ## Overview
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- LIMI is an agentic model fine‑tuned from GLM‑4.5 (355B) using compact, high‑quality data to emphasize:
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  - Targeted capabilities: tool use, multi‑turn correction, spec compliance
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- - Long‑context reasoning with tokenizer‑filtered samples (≤128k tokens)
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  - OpenAI‑style `messages` with optional function/tool calls
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  ## Model Details
@@ -36,7 +36,7 @@ LIMI is an agentic model fine‑tuned from GLM‑4.5 (355B) using compact, high
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  - Base model: `zai-org/GLM-4.5`
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  - Context: up to 128k tokens (training budget)
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  - Training framework: slime
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- - Training data: curated conversations from [GAIR/limi](https://huggingface.co/datasets/GAIR/limi)
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  ## Key Results
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@@ -141,7 +141,7 @@ print(out[0].outputs[0].text)
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  ```bibtex
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  @article{LIMI2025,
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- title = {Less is More for Agentic Intelligence},
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  author = {LIMI Authors},
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  year = {2025},
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  journal = {arXiv preprint arXiv:2502.03387}
 
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  ## Overview
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+ 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:
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  - Targeted capabilities: tool use, multi‑turn correction, spec compliance
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+ - Long‑context trajectory with tokenizer‑filtered samples (≤128k tokens)
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  - OpenAI‑style `messages` with optional function/tool calls
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  ## Model Details
 
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  - Base model: `zai-org/GLM-4.5`
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  - Context: up to 128k tokens (training budget)
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  - Training framework: slime
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+ - Training data: curated conversations from [GAIR/LIMI](https://huggingface.co/datasets/GAIR/LIMI)
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  ## Key Results
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  ```bibtex
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  @article{LIMI2025,
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+ title = {Less is More for Agency},
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  author = {LIMI Authors},
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  year = {2025},
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  journal = {arXiv preprint arXiv:2502.03387}