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# ─── Model Registry ───────────────────────────────────────────────────────────
# loader_type:
# "multimodal" → AutoModelForMultimodalLM + AutoProcessor (Gemma 4)
# "vision_causal" → AutoModelForCausalLM + AutoProcessor (Gemma 3 vision)
# "causal" → AutoModelForCausalLM + AutoTokenizer (text-only)
MODELS = {
# ── Gemma 4 ───────────────────────────────────────────────────────────────
"google/gemma-4-E2B-it": {
"name": "Gemma 4 E2B",
"short": "E2B",
"family": "Gemma 4",
"family_color": "#1a73e8",
"params": "2.3B active / 5.1B total",
"params_short": "2.3B",
"context": "128K",
"context_k": 128,
"gpu_size": "large",
"supports_vision": True,
"loader_type": "multimodal",
"torch_dtype": torch.bfloat16,
"description": "Most compact Gemma 4. PLE architecture with image support. Fast and efficient.",
"release_year": 2026,
"license": "Apache 2.0",
"license_open": True,
"vram": "~10 GB",
"lmarena": None,
"architecture": "Transformer + PLE",
"badge": "NEW",
},
"google/gemma-4-E4B-it": {
"name": "Gemma 4 E4B",
"short": "E4B",
"family": "Gemma 4",
"family_color": "#1a73e8",
"params": "4.5B active / 8B total",
"params_short": "4.5B",
"context": "128K",
"context_k": 128,
"gpu_size": "large",
"supports_vision": True,
"loader_type": "multimodal",
"torch_dtype": torch.bfloat16,
"description": "Greater capacity with PLE and Shared KV Cache. Image + text. Great balance.",
"release_year": 2026,
"license": "Apache 2.0",
"license_open": True,
"vram": "~16 GB",
"lmarena": None,
"architecture": "Transformer + PLE",
"badge": "NEW",
},
"google/gemma-4-26B-A4B-it": {
"name": "Gemma 4 26B MoE",
"short": "26B MoE",
"family": "Gemma 4",
"family_color": "#1a73e8",
"params": "4B active / 26B total",
"params_short": "26B MoE",
"context": "256K",
"context_k": 256,
"gpu_size": "large",
"supports_vision": True,
"loader_type": "multimodal",
"torch_dtype": torch.bfloat16,
"description": "Mixture-of-Experts with only 4B active parameters. LMArena ~1441. Image + text.",
"release_year": 2026,
"license": "Apache 2.0",
"license_open": True,
"vram": "~52 GB",
"lmarena": 1441,
"architecture": "MoE Transformer",
"badge": "NEW",
},
"google/gemma-4-31B-it": {
"name": "Gemma 4 31B",
"short": "31B",
"family": "Gemma 4",
"family_color": "#1a73e8",
"params": "31B parameters",
"params_short": "31B",
"context": "256K",
"context_k": 256,
"gpu_size": "xlarge",
"supports_vision": True,
"loader_type": "multimodal",
"torch_dtype": torch.bfloat16,
"description": "Most powerful Gemma 4. Dense Transformer. LMArena ~1452. On par with models 30× larger.",
"release_year": 2026,
"license": "Apache 2.0",
"license_open": True,
"vram": "~62 GB",
"lmarena": 1452,
"architecture": "Dense Transformer",
"badge": "FLAGSHIP",
},
# ── Gemma 3 ───────────────────────────────────────────────────────────────
"google/gemma-3-1b-it": {
"name": "Gemma 3 1B",
"short": "1B",
"family": "Gemma 3",
"family_color": "#137333",
"params": "1B parameters",
"params_short": "1B",
"context": "32K",
"context_k": 32,
"gpu_size": "large",
"supports_vision": False,
"loader_type": "causal",
"torch_dtype": torch.bfloat16,
"description": "Ultra-lightweight. Ideal for edge devices and low-latency tasks. Text only.",
"release_year": 2025,
"license": "Gemma",
"license_open": False,
"vram": "~2 GB",
"lmarena": None,
"architecture": "Transformer",
"badge": None,
},
"google/gemma-3-4b-it": {
"name": "Gemma 3 4B",
"short": "4B",
"family": "Gemma 3",
"family_color": "#137333",
"params": "4B parameters",
"params_short": "4B",
"context": "128K",
"context_k": 128,
"gpu_size": "large",
"supports_vision": True,
"loader_type": "vision_causal",
"torch_dtype": torch.bfloat16,
"description": "Perfect balance between size and capability. Image + text. 128K context.",
"release_year": 2025,
"license": "Gemma",
"license_open": False,
"vram": "~8 GB",
"lmarena": None,
"architecture": "Transformer",
"badge": None,
},
"google/gemma-3-12b-it": {
"name": "Gemma 3 12B",
"short": "12B",
"family": "Gemma 3",
"family_color": "#137333",
"params": "12B parameters",
"params_short": "12B",
"context": "128K",
"context_k": 128,
"gpu_size": "large",
"supports_vision": True,
"loader_type": "vision_causal",
"torch_dtype": torch.bfloat16,
"description": "High-capacity multimodal. Complex reasoning and image analysis.",
"release_year": 2025,
"license": "Gemma",
"license_open": False,
"vram": "~24 GB",
"lmarena": None,
"architecture": "Transformer",
"badge": None,
},
"google/gemma-3-27b-it": {
"name": "Gemma 3 27B",
"short": "27B",
"family": "Gemma 3",
"family_color": "#137333",
"params": "27B parameters",
"params_short": "27B",
"context": "128K",
"context_k": 128,
"gpu_size": "large",
"supports_vision": True,
"loader_type": "vision_causal",
"torch_dtype": torch.bfloat16,
"description": "Most capable Gemma 3. Advanced vision and high-level reasoning.",
"release_year": 2025,
"license": "Gemma",
"license_open": False,
"vram": "~54 GB",
"lmarena": None,
"architecture": "Transformer",
"badge": None,
},
# ── Gemma 2 ───────────────────────────────────────────────────────────────
"google/gemma-2-2b-it": {
"name": "Gemma 2 2B",
"short": "2B",
"family": "Gemma 2",
"family_color": "#e37400",
"params": "2B parameters",
"params_short": "2B",
"context": "8K",
"context_k": 8,
"gpu_size": "large",
"supports_vision": False,
"loader_type": "causal",
"torch_dtype": torch.bfloat16,
"description": "Fast and efficient. Sliding Window Attention. Text only.",
"release_year": 2024,
"license": "Gemma",
"license_open": False,
"vram": "~4 GB",
"lmarena": None,
"architecture": "Sliding Window Attn",
"badge": None,
},
"google/gemma-2-9b-it": {
"name": "Gemma 2 9B",
"short": "9B",
"family": "Gemma 2",
"family_color": "#e37400",
"params": "9B parameters",
"params_short": "9B",
"context": "8K",
"context_k": 8,
"gpu_size": "large",
"supports_vision": False,
"loader_type": "causal",
"torch_dtype": torch.bfloat16,
"description": "Solid text performance. Efficient architecture with sliding window.",
"release_year": 2024,
"license": "Gemma",
"license_open": False,
"vram": "~18 GB",
"lmarena": None,
"architecture": "Sliding Window Attn",
"badge": None,
},
"google/gemma-2-27b-it": {
"name": "Gemma 2 27B",
"short": "27B",
"family": "Gemma 2",
"family_color": "#e37400",
"params": "27B parameters",
"params_short": "27B",
"context": "8K",
"context_k": 8,
"gpu_size": "large",
"supports_vision": False,
"loader_type": "causal",
"torch_dtype": torch.bfloat16,
"description": "Largest Gemma 2. High performance on complex text tasks.",
"release_year": 2024,
"license": "Gemma",
"license_open": False,
"vram": "~54 GB",
"lmarena": None,
"architecture": "Sliding Window Attn",
"badge": None,
},
# ── Gemma 1 ───────────────────────────────────────────────────────────────
"google/gemma-1.1-2b-it": {
"name": "Gemma 1.1 2B",
"short": "2B",
"family": "Gemma 1",
"family_color": "#c5221f",
"params": "2B parameters",
"params_short": "2B",
"context": "8K",
"context_k": 8,
"gpu_size": "large",
"supports_vision": False,
"loader_type": "causal",
"torch_dtype": torch.float16,
"description": "The original foundation model. Where it all began. Text only.",
"release_year": 2024,
"license": "Gemma",
"license_open": False,
"vram": "~4 GB",
"lmarena": None,
"architecture": "Transformer",
"badge": None,
},
"google/gemma-1.1-7b-it": {
"name": "Gemma 1.1 7B",
"short": "7B",
"family": "Gemma 1",
"family_color": "#c5221f",
"params": "7B parameters",
"params_short": "7B",
"context": "8K",
"context_k": 8,
"gpu_size": "large",
"supports_vision": False,
"loader_type": "causal",
"torch_dtype": torch.float16,
"description": "The original 7B. The historical base of the entire Gemma family.",
"release_year": 2024,
"license": "Gemma",
"license_open": False,
"vram": "~14 GB",
"lmarena": None,
"architecture": "Transformer",
"badge": None,
},
}
FAMILIES = {
"Gemma 4": {
"color": "#1a73e8",
"bg": "#e8f0fe",
"year": 2026,
"description": "The newest generation. Full multimodal (image + text). Apache 2.0. Just launched!",
"icon": "✦",
"new": True,
},
"Gemma 3": {
"color": "#137333",
"bg": "#e6f4ea",
"year": 2025,
"description": "Second generation with vision. Long contexts up to 128K tokens.",
"icon": "◆",
"new": False,
},
"Gemma 2": {
"color": "#e37400",
"bg": "#fef7e0",
"year": 2024,
"description": "Optimized for text with Sliding Window Attention. Efficient and fast.",
"icon": "●",
"new": False,
},
"Gemma 1": {
"color": "#c5221f",
"bg": "#fce8e6",
"year": 2024,
"description": "The original foundation models from Google DeepMind.",
"icon": "◉",
"new": False,
},
}
def get_models_by_family(family: str):
return {k: v for k, v in MODELS.items() if v["family"] == family}
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