feat: initial model catalog with 196 models across 39 providers
Community-maintained TOML catalog for LibreFang. New models can be added via PR without requiring a LibreFang binary release. Includes validation script, bilingual docs, and GitHub templates.
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# Venice.ai — https://venice.ai
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# Models: 3
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[provider]
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id = "venice"
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display_name = "Venice.ai"
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api_key_env = "VENICE_API_KEY"
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base_url = "https://api.venice.ai/api/v1"
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key_required = true
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[[models]]
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id = "venice-uncensored"
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display_name = "Venice Uncensored"
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tier = "fast"
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context_window = 32000
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max_output_tokens = 8192
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input_cost_per_m = 0.20
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output_cost_per_m = 0.90
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supports_tools = true
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supports_vision = false
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supports_streaming = true
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aliases = ["venice"]
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[[models]]
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id = "llama-3.3-70b"
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display_name = "Llama 3.3 70B (Venice)"
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tier = "balanced"
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context_window = 128000
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max_output_tokens = 8192
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input_cost_per_m = 0.20
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output_cost_per_m = 0.90
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supports_tools = true
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supports_vision = false
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supports_streaming = true
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aliases = []
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[[models]]
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id = "qwen3-235b-a22b-instruct-2507"
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display_name = "Qwen3 235B A22B (Venice)"
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tier = "smart"
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context_window = 128000
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max_output_tokens = 8192
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input_cost_per_m = 0.20
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output_cost_per_m = 0.90
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supports_tools = true
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supports_vision = false
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supports_streaming = true
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aliases = []
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