Commit
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82c00c4
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Parent(s):
35f3930
Upload model
Browse files- README.md +2 -2
- adapter_config.json +3 -3
- adapter_model.bin +2 -2
README.md
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@@ -12,8 +12,8 @@ The following `bitsandbytes` quantization config was used during training:
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant:
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- bnb_4bit_compute_dtype:
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### Framework versions
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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### Framework versions
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adapter_config.json
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@@ -1,17 +1,17 @@
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{
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"auto_mapping": null,
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"base_model_name_or_path": "tiiuae/falcon-7b
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha":
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r":
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"revision": null,
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"target_modules": [
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"query_key_value"
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{
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"auto_mapping": null,
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"base_model_name_or_path": "tiiuae/falcon-7b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 8,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 2,
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"revision": null,
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"target_modules": [
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"query_key_value"
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adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a8d8b3480fed8864e5724a227f9446a6dc393e9c9c71954dfb0a61d5833cf8a
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size 2382961
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