Commit
•
fbc3fb7
1
Parent(s):
ff7d598
Upload model
Browse files- README.md +36 -0
- adapter_model.bin +1 -1
README.md
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@@ -323,6 +323,39 @@ The following `bitsandbytes` quantization config was used during training:
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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@@ -364,5 +397,8 @@ The following `bitsandbytes` quantization config was used during training:
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- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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+
The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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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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+
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+
The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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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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+
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+
The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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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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+
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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+
- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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adapter_model.bin
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@@ -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 134263757
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:b5937500708dd1e16d7b8227c07f312cc82a5fd332af29eed3cb669edb73de8e
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size 134263757
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