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1 Parent(s): b166b91

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Files changed (4) hide show
  1. config.json +23 -8
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
  4. recipe.yaml +0 -1
config.json CHANGED
@@ -3,43 +3,58 @@
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  "LlamaForCausalLM"
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  ],
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  "attention_bias": false,
 
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  "bos_token_id": 1,
 
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  "eos_token_id": 2,
 
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  "hidden_act": "silu",
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  "hidden_size": 2048,
10
  "initializer_range": 0.02,
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  "intermediate_size": 5632,
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  "max_position_embeddings": 2048,
 
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  "model_type": "llama",
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  "num_attention_heads": 32,
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  "num_hidden_layers": 22,
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  "num_key_value_heads": 4,
 
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  "pretraining_tp": 1,
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  "quantization_config": {
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  "config_groups": {
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  "group_0": {
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  "format": "float-quantized",
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  "input_activations": {
 
 
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  "dynamic": false,
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  "group_size": null,
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  "num_bits": 8,
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  "observer": "static_minmax",
 
 
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  "strategy": "tensor",
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  "symmetric": true,
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- "type": "float"
 
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  },
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  "output_activations": null,
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  "targets": [
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  "Linear"
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  ],
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  "weights": {
 
 
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  "dynamic": false,
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  "group_size": null,
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  "num_bits": 8,
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  "observer": "memoryless_minmax",
 
 
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  "strategy": "tensor",
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  "symmetric": true,
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- "type": "float"
 
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  }
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  }
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  },
@@ -49,19 +64,19 @@
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  "lm_head"
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  ],
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  "kv_cache_scheme": null,
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- "moe_sparsity_config": null,
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  "quant_method": "compressed-tensors",
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  "quantization_status": "compressed",
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  "sparsity_config": {},
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  "transform_config": {},
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- "version": "0.20.2.dev3+g6c0f906d"
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  },
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  "rms_norm_eps": 1e-05,
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- "rope_scaling": null,
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- "rope_theta": 10000.0,
 
 
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  "tie_word_embeddings": false,
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- "torch_dtype": "bfloat16",
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- "transformers_version": "4.35.0",
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  "use_cache": true,
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  "vocab_size": 32000
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  }
 
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  "LlamaForCausalLM"
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  ],
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  "attention_bias": false,
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+ "attention_dropout": 0.0,
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  "bos_token_id": 1,
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+ "dtype": "bfloat16",
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  "eos_token_id": 2,
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+ "head_dim": 64,
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  "hidden_act": "silu",
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  "hidden_size": 2048,
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  "initializer_range": 0.02,
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  "intermediate_size": 5632,
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  "max_position_embeddings": 2048,
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+ "mlp_bias": false,
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  "model_type": "llama",
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  "num_attention_heads": 32,
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  "num_hidden_layers": 22,
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  "num_key_value_heads": 4,
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+ "pad_token_id": null,
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  "pretraining_tp": 1,
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  "quantization_config": {
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  "config_groups": {
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  "group_0": {
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  "format": "float-quantized",
27
  "input_activations": {
28
+ "actorder": null,
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+ "block_structure": null,
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  "dynamic": false,
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  "group_size": null,
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  "num_bits": 8,
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  "observer": "static_minmax",
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+ "observer_kwargs": {},
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+ "scale_dtype": null,
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  "strategy": "tensor",
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  "symmetric": true,
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+ "type": "float",
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+ "zp_dtype": null
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  },
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  "output_activations": null,
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  "targets": [
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  "Linear"
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  ],
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  "weights": {
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+ "actorder": null,
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+ "block_structure": null,
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  "dynamic": false,
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  "group_size": null,
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  "num_bits": 8,
51
  "observer": "memoryless_minmax",
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+ "observer_kwargs": {},
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+ "scale_dtype": null,
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  "strategy": "tensor",
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  "symmetric": true,
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+ "type": "float",
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+ "zp_dtype": null
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  }
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  }
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  },
 
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  "lm_head"
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  ],
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  "kv_cache_scheme": null,
 
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  "quant_method": "compressed-tensors",
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  "quantization_status": "compressed",
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  "sparsity_config": {},
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  "transform_config": {},
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+ "version": "0.17.1"
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  },
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  "rms_norm_eps": 1e-05,
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+ "rope_parameters": {
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+ "rope_theta": 10000.0,
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+ "rope_type": "default"
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+ },
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  "tie_word_embeddings": false,
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+ "transformers_version": "5.10.1",
 
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  "use_cache": true,
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  "vocab_size": 32000
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  }
generation_config.json CHANGED
@@ -3,5 +3,5 @@
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  "eos_token_id": 2,
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  "max_length": 2048,
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  "pad_token_id": 0,
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- "transformers_version": "5.21.0"
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  }
 
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  "eos_token_id": 2,
4
  "max_length": 2048,
5
  "pad_token_id": 0,
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+ "transformers_version": "5.10.1"
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  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:535ae48647eabbe406623c4b5d1f50e87de7951711e075878f7a93d97748ac19
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  size 1231270880
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:456db3bd64ae2d787b4c93ef4d37abab348b09a019cf239d5194cf8ca601bd3b
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  size 1231270880
recipe.yaml CHANGED
@@ -5,4 +5,3 @@ default_stage:
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  ignore: [lm_head, 're:.*mlp.gate[.].*']
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  scheme: FP8
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  bypass_divisibility_checks: false
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- requires_calibration_data: true
 
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  ignore: [lm_head, 're:.*mlp.gate[.].*']
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  scheme: FP8
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  bypass_divisibility_checks: false