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README.md
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@@ -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
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models:
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- HuggingFaceTB/SmolLM2-135M
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- MaliosDark/Isabel-50M
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@@ -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
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app.py
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@@ -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
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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>
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