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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
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flozi00 commited on
Commit
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1 Parent(s): f0709a5

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  1. README.md +84 -0
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -81,6 +81,83 @@ The following `bitsandbytes` quantization config was used during training:
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  - bnb_4bit_use_double_quant: True
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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
@@ -93,6 +170,13 @@ The following `bitsandbytes` quantization config was used during training:
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  - bnb_4bit_compute_dtype: float16
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  ### Framework versions
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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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  - bnb_4bit_use_double_quant: True
82
  - bnb_4bit_compute_dtype: float16
83
 
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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
98
+ - 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
109
+ - 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
112
+ - llm_int8_has_fp16_weight: False
113
+ - bnb_4bit_quant_type: fp4
114
+ - bnb_4bit_use_double_quant: True
115
+ - bnb_4bit_compute_dtype: float16
116
+
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+ The following `bitsandbytes` quantization config was used during training:
118
+ - load_in_8bit: False
119
+ - load_in_4bit: True
120
+ - llm_int8_threshold: 6.0
121
+ - llm_int8_skip_modules: None
122
+ - llm_int8_enable_fp32_cpu_offload: False
123
+ - llm_int8_has_fp16_weight: False
124
+ - bnb_4bit_quant_type: fp4
125
+ - bnb_4bit_use_double_quant: True
126
+ - bnb_4bit_compute_dtype: float16
127
+
128
+ The following `bitsandbytes` quantization config was used during training:
129
+ - load_in_8bit: False
130
+ - load_in_4bit: True
131
+ - llm_int8_threshold: 6.0
132
+ - llm_int8_skip_modules: None
133
+ - llm_int8_enable_fp32_cpu_offload: False
134
+ - llm_int8_has_fp16_weight: False
135
+ - bnb_4bit_quant_type: fp4
136
+ - bnb_4bit_use_double_quant: True
137
+ - bnb_4bit_compute_dtype: float16
138
+
139
+ The following `bitsandbytes` quantization config was used during training:
140
+ - load_in_8bit: False
141
+ - load_in_4bit: True
142
+ - llm_int8_threshold: 6.0
143
+ - llm_int8_skip_modules: None
144
+ - llm_int8_enable_fp32_cpu_offload: False
145
+ - llm_int8_has_fp16_weight: False
146
+ - bnb_4bit_quant_type: fp4
147
+ - bnb_4bit_use_double_quant: True
148
+ - bnb_4bit_compute_dtype: float16
149
+
150
+ The following `bitsandbytes` quantization config was used during training:
151
+ - load_in_8bit: False
152
+ - load_in_4bit: True
153
+ - llm_int8_threshold: 6.0
154
+ - llm_int8_skip_modules: None
155
+ - llm_int8_enable_fp32_cpu_offload: False
156
+ - llm_int8_has_fp16_weight: False
157
+ - bnb_4bit_quant_type: fp4
158
+ - bnb_4bit_use_double_quant: True
159
+ - bnb_4bit_compute_dtype: float16
160
+
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  The following `bitsandbytes` quantization config was used during training:
162
  - load_in_8bit: False
163
  - load_in_4bit: True
 
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  - bnb_4bit_compute_dtype: float16
171
  ### Framework versions
172
 
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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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  - PEFT 0.4.0.dev0
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  - PEFT 0.4.0.dev0
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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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+ oid sha256:7b84f642ca839980d04318d50e84cc6946156ef3313deadf59c8ae5c9cec2b37
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  size 324598229