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Meta-Llama-3.1-8B-Instruct-int4-sym-inc

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llama
4-bit precision
intel/auto-round
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wenhuach commited on
Commit
017e9a1
·
1 Parent(s): 8fe2039

auto-round format

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Signed-off-by: wenhuach <[email protected]>

Files changed (3) hide show
  1. config.json +9 -10
  2. model.safetensors.index.json +1 -225
  3. quantize_config.json → quantization_config.json +8 -9
config.json CHANGED
@@ -26,22 +26,22 @@
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  "quantization_config": {
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  "autoround_version": "0.4.1",
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- "batch_size": 1,
 
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  "bits": 4,
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- "damp_percent": 0.01,
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  "data_type": "int",
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  "enable_minmax_tuning": true,
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- "quant_method": "gptq",
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  "seqlen": 2048,
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  "sym": true,
@@ -80,8 +80,7 @@
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- ],
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  "rope_scaling": null,
 
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  "quantization_config": {
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  "amp": true,
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  "autoround_version": "0.4.1",
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+ "backend": "auto_round:gptq:exllamav2",
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+ "batch_size": 8,
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  "bits": 4,
 
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  "data_type": "int",
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+ "dataset": "NeelNanda/pile-10k",
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  "enable_minmax_tuning": true,
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  "enable_norm_bias_tuning": false,
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  "enable_quanted_input": true,
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  "gradient_accumulate_steps": 1,
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  "group_size": 128,
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+ "iters": 1000,
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  "low_gpu_mem_usage": false,
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+ "lr": 0.001,
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+ "minmax_lr": 0.001,
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+ "nsamples": 512,
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+ "quant_method": "intel/auto-round",
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  "seqlen": 2048,
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  "sym": true,
 
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  "rms_norm_eps": 1e-05,
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quantize_config.json → quantization_config.json RENAMED
@@ -6,14 +6,14 @@
6
  "enable_quanted_input": true,
7
  "enable_minmax_tuning": true,
8
  "seqlen": 2048,
9
- "batch_size": 1,
10
  "scale_dtype": "torch.float16",
11
- "lr": 1.0,
12
- "minmax_lr": 1.0,
13
  "gradient_accumulate_steps": 1,
14
- "iters": 1,
15
  "amp": true,
16
- "nsamples": 1,
17
  "low_gpu_mem_usage": false,
18
  "to_quant_block_names": [
19
  [
@@ -52,9 +52,8 @@
52
  ]
53
  ],
54
  "enable_norm_bias_tuning": false,
 
55
  "autoround_version": "0.4.1",
56
- "quant_method": "gptq",
57
- "desc_act": false,
58
- "true_sequential": false,
59
- "damp_percent": 0.01
60
  }
 
6
  "enable_quanted_input": true,
7
  "enable_minmax_tuning": true,
8
  "seqlen": 2048,
9
+ "batch_size": 8,
10
  "scale_dtype": "torch.float16",
11
+ "lr": 0.001,
12
+ "minmax_lr": 0.001,
13
  "gradient_accumulate_steps": 1,
14
+ "iters": 1000,
15
  "amp": true,
16
+ "nsamples": 512,
17
  "low_gpu_mem_usage": false,
18
  "to_quant_block_names": [
19
  [
 
52
  ]
53
  ],
54
  "enable_norm_bias_tuning": false,
55
+ "dataset": "NeelNanda/pile-10k",
56
  "autoround_version": "0.4.1",
57
+ "quant_method": "intel/auto-round",
58
+ "backend": "auto_round:gptq:exllamav2"
 
 
59
  }