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Llama-3.2-1B-Instruct-float16

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Llama-3.2-1B-Instruct-float16
File size: 3,000 Bytes 
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{
    "toolchain_version": "0.2.0",
    "vendor": "Meta",
    "family": "Llama-3.2",
    "name": "Llama-3.2-1B-Instruct",
    "size": "1B",
    "quantization": null,
    "repo": "meta-llama/Llama-3.2-1B-Instruct",
    "use_cases": [],
    "model_config": {
        "embedding_config": {
            "type": "TiedEmbeddingConfig",
            "input_scale": null,
            "logits_soft_cap": null,
            "precision": "float16"
        },
        "global_rope_config": {
            "type": "LlamaRoPEConfig",
            "precision": "float16",
            "base": 500000.0,
            "max_sequence_length": 131072,
            "scaling_factor": 32.0,
            "original_context_length": 8192,
            "low_frequency_factor": 1.0,
            "high_frequency_factor": 4.0
        },
        "local_rope_config": null,
        "layer_config": {
            "pre_attention_norm_config": {
                "scale_precision": "float16",
                "accumulation_precision": "float32",
                "epsilon": 1e-05,
                "scale_offset": null,
                "upcast_mode": "only_normalization"
            },
            "attention_config": {
                "qkv_projection_config": {
                    "type": "FullPrecisionLinearConfig",
                    "precision": "float16"
                },
                "out_projection_config": {
                    "type": "FullPrecisionLinearConfig",
                    "precision": "float16"
                },
                "query_norm_config": null,
                "key_norm_config": null,
                "logit_soft_cap": null,
                "has_qkv_biases": false,
                "has_out_biases": false
            },
            "post_attention_norm_config": null,
            "pre_mlp_norm_config": {
                "scale_precision": "float16",
                "accumulation_precision": "float32",
                "epsilon": 1e-05,
                "scale_offset": null,
                "upcast_mode": "only_normalization"
            },
            "mlp_config": {
                "linear_config": {
                    "type": "FullPrecisionLinearConfig",
                    "precision": "float16"
                },
                "activation": "silu"
            },
            "post_mlp_norm_config": null
        },
        "output_norm_config": {
            "scale_precision": "float16",
            "accumulation_precision": "float32",
            "epsilon": 1e-05,
            "scale_offset": null,
            "upcast_mode": "only_normalization"
        },
        "vocab_size": 128256,
        "model_dim": 2048,
        "hidden_dim": 8192,
        "num_heads": 32,
        "num_groups": 8,
        "head_dim": 64,
        "attention_scale": null,
        "num_layers": 16,
        "sliding_window_sizes": null,
        "context_length": 131072
    },
    "tokenizer_file_names": [
        "tokenizer.json",
        "tokenizer_config.json",
        "generation_config.json"
    ]
}