gabrielgme commited on
Commit
82c00c4
1 Parent(s): 35f3930

Upload model

Browse files
Files changed (3) hide show
  1. README.md +2 -2
  2. adapter_config.json +3 -3
  3. adapter_model.bin +2 -2
README.md CHANGED
@@ -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: False
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- - bnb_4bit_compute_dtype: float16
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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 CHANGED
@@ -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-instruct",
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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": 32,
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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": 16,
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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"
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 sha256:5f0ae9852bec0f3a2fc14dd47bef976db0e137b83ed2bcdfc68406d854f7218e
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- size 18898161
 
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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