Upload of AutoGPTQ quantized model
Browse files- config.json +16 -2
- gptq_model-4bit-128g.safetensors +3 -0
- quantize_config.json +13 -0
config.json
CHANGED
@@ -1,5 +1,6 @@
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{
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"
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"architectures": [
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"LlamaForCausalLM"
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],
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@@ -23,6 +24,19 @@
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"num_hidden_layers": 16,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 32.0,
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@@ -33,7 +47,7 @@
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "
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"transformers_version": "4.47.0",
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"use_cache": true,
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"vocab_size": 128256
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "sparse_llama/Llama-3.2-1B-Instruct-SparseGPT-INT4",
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"architectures": [
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"LlamaForCausalLM"
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],
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"num_hidden_layers": 16,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"quantization_config": {
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"bits": 4,
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"damp_percent": 0.1,
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"desc_act": true,
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"group_size": 128,
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"is_marlin_format": false,
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"model_file_base_name": null,
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"model_name_or_path": null,
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"quant_method": "gptq",
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"static_groups": false,
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"sym": true,
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"true_sequential": true
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},
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 32.0,
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "float16",
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"transformers_version": "4.47.0",
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"use_cache": true,
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"vocab_size": 128256
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gptq_model-4bit-128g.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb30078d3b42663d1da0742d8ef6ea1ae40f7a38d9de6d19a27f3a37a2edbfb1
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size 1558482936
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quantize_config.json
ADDED
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{
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"bits": 4,
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"group_size": 128,
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"damp_percent": 0.1,
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"desc_act": true,
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"static_groups": false,
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"sym": true,
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"true_sequential": true,
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"model_name_or_path": null,
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"model_file_base_name": null,
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"is_marlin_format": false,
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"quant_method": "gptq"
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}
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