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config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "meta-llama/Llama-3.2-1B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "quantization_config": {
+    "bits": 4,
+    "checkpoint_format": "gptq",
+    "desc_act": true,
+    "dynamic": null,
+    "group_size": 32,
+    "lm_head": false,
+    "meta": {
+      "damp_auto_increment": 0.0025,
+      "damp_percent": 0.01,
+      "mse": 0.0,
+      "quantizer": [
+        "gptqmodel:1.4.6-dev"
+      ],
+      "static_groups": false,
+      "true_sequential": true,
+      "uri": "https://github.com/modelcloud/gptqmodel"
+    },
+    "quant_method": "gptq",
+    "sym": true
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:751aa2c38ca552ae90ac9c5968b7ce3ace0e08784a1d1056863b8424ca014299
+size 1614733472

quant_log.csv

@@ -0,0 +1,113 @@
+layer,module,loss,damp,time
+0,self_attn.k_proj,0.20627,0.01000,0.986
+0,self_attn.v_proj,0.00507,0.01000,0.607
+0,self_attn.q_proj,0.42227,0.01000,0.610
+0,self_attn.o_proj,0.00047,0.01000,0.603
+0,mlp.up_proj,0.35409,0.01000,0.636
+0,mlp.gate_proj,0.44565,0.01000,0.749
+0,mlp.down_proj,0.00251,0.01000,2.774
+1,self_attn.k_proj,0.33142,0.01000,0.600
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+1,mlp.gate_proj,0.69618,0.01000,0.790
+1,mlp.down_proj,1.31996,0.01000,2.535
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+2,self_attn.q_proj,1.27351,0.01000,0.619
+2,self_attn.o_proj,0.00206,0.01000,0.596
+2,mlp.up_proj,0.65205,0.01000,0.631
+2,mlp.gate_proj,1.04195,0.01000,0.784
+2,mlp.down_proj,0.00808,0.01000,2.504
+3,self_attn.k_proj,0.43784,0.01000,0.592
+3,self_attn.v_proj,0.05698,0.01000,0.586
+3,self_attn.q_proj,0.94526,0.01000,0.610
+3,self_attn.o_proj,0.00391,0.01000,0.644
+3,mlp.up_proj,0.79450,0.01000,0.621
+3,mlp.gate_proj,1.58985,0.01000,0.798
+3,mlp.down_proj,0.01225,0.01000,2.532
+4,self_attn.k_proj,0.46703,0.01000,0.583
+4,self_attn.v_proj,0.05344,0.01000,0.588
+4,self_attn.q_proj,0.95165,0.01000,0.609
+4,self_attn.o_proj,0.00573,0.01000,0.604
+4,mlp.up_proj,0.80078,0.01000,0.630
+4,mlp.gate_proj,1.73697,0.01000,0.794
+4,mlp.down_proj,0.01413,0.01000,2.501
+5,self_attn.k_proj,0.69090,0.01000,0.596
+5,self_attn.v_proj,0.04588,0.01000,0.589
+5,self_attn.q_proj,1.21408,0.01000,0.664
+5,self_attn.o_proj,0.00586,0.01000,0.612
+5,mlp.up_proj,0.86928,0.01000,0.637
+5,mlp.gate_proj,1.61338,0.01000,0.800
+5,mlp.down_proj,0.01706,0.01000,2.504
+6,self_attn.k_proj,0.56137,0.01000,0.592
+6,self_attn.v_proj,0.05914,0.01000,0.583
+6,self_attn.q_proj,0.88346,0.01000,0.589
+6,self_attn.o_proj,0.00905,0.01000,0.614
+6,mlp.up_proj,0.88001,0.01000,0.630
+6,mlp.gate_proj,1.59125,0.01000,0.793
+6,mlp.down_proj,0.01736,0.01000,2.431
+7,self_attn.k_proj,0.56204,0.01000,0.584
+7,self_attn.v_proj,0.06787,0.01000,0.578
+7,self_attn.q_proj,1.04871,0.01000,0.627
+7,self_attn.o_proj,0.00866,0.01000,0.598
+7,mlp.up_proj,0.91172,0.01000,0.630
+7,mlp.gate_proj,1.47971,0.01000,0.801
+7,mlp.down_proj,0.01878,0.01000,2.453
+8,self_attn.k_proj,0.65364,0.01000,0.587
+8,self_attn.v_proj,0.06459,0.01000,0.599
+8,self_attn.q_proj,1.06362,0.01000,0.589
+8,self_attn.o_proj,0.01113,0.01000,0.585
+8,mlp.up_proj,1.00755,0.01000,0.611
+8,mlp.gate_proj,1.59544,0.01000,0.796
+8,mlp.down_proj,0.02531,0.01000,2.416
+9,self_attn.k_proj,0.54082,0.01000,0.584
+9,self_attn.v_proj,0.07637,0.01000,0.580
+9,self_attn.q_proj,1.30084,0.01000,0.591
+9,self_attn.o_proj,0.01507,0.01000,0.603
+9,mlp.up_proj,1.07703,0.01000,0.622
+9,mlp.gate_proj,1.76000,0.01000,0.796
+9,mlp.down_proj,0.03086,0.01000,2.426
+10,self_attn.k_proj,0.66062,0.01000,0.590
+10,self_attn.v_proj,0.08113,0.01000,0.583
+10,self_attn.q_proj,1.32715,0.01000,0.583
+10,self_attn.o_proj,0.01019,0.01000,0.594
+10,mlp.up_proj,1.28599,0.01000,0.622
+10,mlp.gate_proj,2.02958,0.01000,0.791
+10,mlp.down_proj,0.03905,0.01000,2.438
+11,self_attn.k_proj,0.79215,0.01000,0.583
+11,self_attn.v_proj,0.08159,0.01000,0.590
+11,self_attn.q_proj,1.31279,0.01000,0.571
+11,self_attn.o_proj,0.00862,0.01000,0.625
+11,mlp.up_proj,1.42253,0.01000,0.641
+11,mlp.gate_proj,2.19144,0.01000,0.801
+11,mlp.down_proj,0.04266,0.01000,2.499
+12,self_attn.k_proj,0.76721,0.01000,0.585
+12,self_attn.v_proj,0.08425,0.01000,0.580
+12,self_attn.q_proj,1.29475,0.01000,0.582
+12,self_attn.o_proj,0.00837,0.01000,0.586
+12,mlp.up_proj,1.47983,0.01000,0.626
+12,mlp.gate_proj,2.15212,0.01000,0.804
+12,mlp.down_proj,0.04750,0.01000,2.422
+13,self_attn.k_proj,0.73892,0.01000,0.589
+13,self_attn.v_proj,0.13723,0.01000,0.574
+13,self_attn.q_proj,1.45466,0.01000,0.589
+13,self_attn.o_proj,0.01131,0.01000,0.578
+13,mlp.up_proj,1.73117,0.01000,0.623
+13,mlp.gate_proj,2.29325,0.01000,0.791
+13,mlp.down_proj,0.06902,0.01000,2.415
+14,self_attn.k_proj,0.79778,0.01000,0.588
+14,self_attn.v_proj,0.29438,0.01000,0.582
+14,self_attn.q_proj,1.52455,0.01000,0.580
+14,self_attn.o_proj,0.02765,0.01000,0.586
+14,mlp.up_proj,1.98990,0.01000,0.606
+14,mlp.gate_proj,2.84552,0.01000,0.621
+14,mlp.down_proj,0.09091,0.01000,2.440
+15,self_attn.k_proj,0.71842,0.01000,0.607
+15,self_attn.v_proj,0.31329,0.01000,0.577
+15,self_attn.q_proj,1.39225,0.01000,0.585
+15,self_attn.o_proj,0.09505,0.01000,0.585
+15,mlp.up_proj,2.41008,0.01000,0.636
+15,mlp.gate_proj,3.18340,0.01000,0.802
+15,mlp.down_proj,0.21390,0.01000,2.454

quantize_config.json

@@ -0,0 +1,21 @@
+{
+  "bits": 4,
+  "dynamic": null,
+  "group_size": 32,
+  "desc_act": true,
+  "sym": true,
+  "lm_head": false,
+  "quant_method": "gptq",
+  "checkpoint_format": "gptq",
+  "meta": {
+    "quantizer": [
+      "gptqmodel:1.4.6-dev"
+    ],
+    "uri": "https://github.com/modelcloud/gptqmodel",
+    "damp_percent": 0.01,
+    "damp_auto_increment": 0.0025,
+    "static_groups": false,
+    "true_sequential": true,
+    "mse": 0.0
+  }
+}