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  1. README.md +1 -2
  2. app.py +1 -2
README.md CHANGED
@@ -11,7 +11,7 @@ hf_oauth: true
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  hf_oauth_scopes:
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  - inference-api
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  license: apache-2.0
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- short_description: Compact model arena with Qwen commentary
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  models:
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  - HuggingFaceTB/SmolLM2-135M
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  - MaliosDark/Isabel-50M
@@ -51,7 +51,6 @@ models:
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  - joelhenwang/OdinNext-138M-Instruct
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  - veyra-ai/Veyra2-30M-Instruct-Early
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  - MinimaLabs/KeyLM-75M-Instruct
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- - Qwen/Qwen3.6-35B-A3B-FP8
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  tags:
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  - text-generation
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  - small-language-model
 
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  hf_oauth_scopes:
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  - inference-api
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  license: apache-2.0
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+ short_description: Compact model arena with GLM and GPT OSS commentary
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  models:
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  - HuggingFaceTB/SmolLM2-135M
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  - MaliosDark/Isabel-50M
 
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  - joelhenwang/OdinNext-138M-Instruct
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  - veyra-ai/Veyra2-30M-Instruct-Early
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  - MinimaLabs/KeyLM-75M-Instruct
 
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  tags:
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  - text-generation
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  - small-language-model
app.py CHANGED
@@ -1395,8 +1395,7 @@ with gr.Blocks(title=APP_TITLE, css=CSS, fill_width=True) as demo:
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  <p>
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  Compare two to five compact Hugging Face models side by side. You can pick visible models,
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  run a blind manual matchup, or ask the arena to randomize hidden contenders with organization
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- and size-band rules. AI commentary runs locally on CPU with a preloaded Qwen/Qwen3.5-2B
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- commentator.
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  </p>
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  <div class="micro-grid">
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  <div class="micro-card"><strong>Mode 1</strong><span>Pick and see the models while they answer.</span></div>
 
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  <p>
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  Compare two to five compact Hugging Face models side by side. You can pick visible models,
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  run a blind manual matchup, or ask the arena to randomize hidden contenders with organization
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+ and size-band rules. AI commentary runs through GLM 4.7 or GPT OSS 120B on CPU.
 
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  </p>
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  <div class="micro-grid">
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  <div class="micro-card"><strong>Mode 1</strong><span>Pick and see the models while they answer.</span></div>