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  1. README.md +50 -0
  2. config.json +61 -70
  3. model.safetensors +2 -2
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - speculators
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+ - hass
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+ - eagle
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+ - speculative-decoding
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+ ---
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+
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+ # HASS Llama 3.1 8B with Layernorms
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+
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+ This is a converted HASS (Eagle variant with layernorms) speculator checkpoint for Llama 3.1 8B, compatible with the [speculators](https://github.com/neuralmagic/speculators) library.
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+
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+ ## Model Details
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+
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+ - **Original checkpoint**: [nm-testing/Eagle_Speculator_Llama_3_1_8B_TTT](https://huggingface.co/nm-testing/Eagle_Speculator_Llama_3_1_8B_TTT)
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+ - **Base model**: [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)
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+ - **Architecture**: HASS (Eagle with layernorms enabled)
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+ - **Size**: 961MB (larger due to additional layernorm weights)
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+
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+ ## Usage
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+
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+ ```python
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+ from speculators.models.eagle import EagleSpeculator
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+ from transformers import AutoModelForCausalLM
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+
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+ # Load the HASS speculator
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+ hass_model = EagleSpeculator.from_pretrained("nm-testing/hass-llama3.1-8b-layernorms")
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+
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+ # Attach verifier model
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+ verifier = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
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+ hass_model.attach_verifier(verifier)
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+
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+ # Use for speculative decoding
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+ # ... your speculative decoding code here ...
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+ ```
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+
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+ ## Conversion Details
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+
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+ This checkpoint was converted using:
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+ ```bash
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+ speculators convert --eagle --layernorms \
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+ nm-testing/Eagle_Speculator_Llama_3_1_8B_TTT \
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+ ./hass-layernorms-converted \
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+ meta-llama/Meta-Llama-3.1-8B-Instruct
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+ ```
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+
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+ ## License
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+
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+ Apache 2.0
config.json CHANGED
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  "name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct",
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  "architectures": [
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  "LlamaForCausalLM"
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- ],
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- "hidden_size": 4096,
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- "intermediate_size": 14336,
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- "vocab_size": 128256,
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- "max_position_embeddings": 131072,
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- "bos_token_id": 128000,
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- "eos_token_id": [
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- 128001,
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- 128008,
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- 128009
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  ]
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  }
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  },
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  "architectures": [
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- "EagleSpeculator"
 
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  ],
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  "transformer_layer_architecture": "LlamaDecoderLayer",
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  "transformer_layer_config": {
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  "attention_dropout": 0.0,
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  "mlp_bias": false,
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  "head_dim": 128,
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- "diversity_penalty": 0.0,
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  "transformers_version": "4.52.4",
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  "model_type": "llama"
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  },
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  "layernorms": true,
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  "fusion_bias": false,
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- "model_type": "speculator_model",
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- "transformers_version": "4.52.4"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
 
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  "name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct",
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  "architectures": [
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  "LlamaForCausalLM"
 
 
 
 
 
 
 
 
 
 
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  ]
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  }
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  },
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  "architectures": [
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+ "EagleSpeculator",
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+ "LlamaDecoderLayer"
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  ],
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  "transformer_layer_architecture": "LlamaDecoderLayer",
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  "transformer_layer_config": {
 
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  "attention_dropout": 0.0,
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  "mlp_bias": false,
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  "head_dim": 128,
 
 
 
 
 
 
 
 
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  "tie_word_embeddings": false,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "bos_token_id": 128000,
 
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  "eos_token_id": [
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  128008,
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  ],
 
 
 
 
 
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  "transformers_version": "4.52.4",
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  "model_type": "llama"
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  },
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  "layernorms": true,
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+ "temperature": 1.0,
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