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flozi00
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open_llama_7b_v2-german-assistant

Text Generation
Transformers
PyTorch
English
German
llama
Inference Endpoints
text-generation-inference
Model card Files Community
flozi00 commited on
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  1. README.md +103 -7
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -1,8 +1,104 @@
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  ---
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- language:
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- - de
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- - en
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- datasets:
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- - flozi00/conversations
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- library_name: transformers
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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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: fp4
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+ - bnb_4bit_use_double_quant: True
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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: fp4
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+ - bnb_4bit_use_double_quant: True
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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
32
+ - 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: fp4
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+ - bnb_4bit_use_double_quant: True
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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:
41
+ - load_in_8bit: False
42
+ - load_in_4bit: True
43
+ - llm_int8_threshold: 6.0
44
+ - llm_int8_skip_modules: None
45
+ - llm_int8_enable_fp32_cpu_offload: False
46
+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
48
+ - bnb_4bit_use_double_quant: True
49
+ - bnb_4bit_compute_dtype: float16
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+
51
+ The following `bitsandbytes` quantization config was used during training:
52
+ - load_in_8bit: False
53
+ - load_in_4bit: True
54
+ - llm_int8_threshold: 6.0
55
+ - llm_int8_skip_modules: None
56
+ - llm_int8_enable_fp32_cpu_offload: False
57
+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
59
+ - bnb_4bit_use_double_quant: True
60
+ - bnb_4bit_compute_dtype: float16
61
+
62
+ The following `bitsandbytes` quantization config was used during training:
63
+ - load_in_8bit: False
64
+ - load_in_4bit: True
65
+ - llm_int8_threshold: 6.0
66
+ - llm_int8_skip_modules: None
67
+ - llm_int8_enable_fp32_cpu_offload: False
68
+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
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+ - bnb_4bit_use_double_quant: True
71
+ - bnb_4bit_compute_dtype: float16
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+
73
+ The following `bitsandbytes` quantization config was used during training:
74
+ - load_in_8bit: False
75
+ - load_in_4bit: True
76
+ - llm_int8_threshold: 6.0
77
+ - llm_int8_skip_modules: None
78
+ - llm_int8_enable_fp32_cpu_offload: False
79
+ - llm_int8_has_fp16_weight: False
80
+ - bnb_4bit_quant_type: fp4
81
+ - bnb_4bit_use_double_quant: True
82
+ - bnb_4bit_compute_dtype: float16
83
+
84
+ The following `bitsandbytes` quantization config was used during training:
85
+ - load_in_8bit: False
86
+ - load_in_4bit: True
87
+ - llm_int8_threshold: 6.0
88
+ - llm_int8_skip_modules: None
89
+ - llm_int8_enable_fp32_cpu_offload: False
90
+ - llm_int8_has_fp16_weight: False
91
+ - bnb_4bit_quant_type: fp4
92
+ - bnb_4bit_use_double_quant: True
93
+ - bnb_4bit_compute_dtype: float16
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+ ### Framework versions
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+
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+ - PEFT 0.4.0.dev0
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+ - PEFT 0.4.0.dev0
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+ - PEFT 0.4.0.dev0
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+ - PEFT 0.4.0.dev0
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+ - PEFT 0.4.0.dev0
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+ - PEFT 0.4.0.dev0
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+ - PEFT 0.4.0.dev0
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+
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+ - PEFT 0.4.0.dev0
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 324598229
 
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  version https://git-lfs.github.com/spec/v1
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