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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
Commit
10ff798
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1 Parent(s): 53a295f

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Files changed (2) hide show
  1. README.md +84 -0
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -158,6 +158,83 @@ 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
@@ -184,5 +261,12 @@ The following `bitsandbytes` quantization config was used during training:
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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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  - 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
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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
186
+ - 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
193
+
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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
197
+ - 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
200
+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
202
+ - bnb_4bit_use_double_quant: True
203
+ - bnb_4bit_compute_dtype: float16
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+
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+ The following `bitsandbytes` quantization config was used during training:
206
+ - load_in_8bit: False
207
+ - load_in_4bit: True
208
+ - llm_int8_threshold: 6.0
209
+ - llm_int8_skip_modules: None
210
+ - llm_int8_enable_fp32_cpu_offload: False
211
+ - llm_int8_has_fp16_weight: False
212
+ - bnb_4bit_quant_type: fp4
213
+ - bnb_4bit_use_double_quant: True
214
+ - bnb_4bit_compute_dtype: float16
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+
216
+ The following `bitsandbytes` quantization config was used during training:
217
+ - load_in_8bit: False
218
+ - load_in_4bit: True
219
+ - llm_int8_threshold: 6.0
220
+ - llm_int8_skip_modules: None
221
+ - llm_int8_enable_fp32_cpu_offload: False
222
+ - llm_int8_has_fp16_weight: False
223
+ - bnb_4bit_quant_type: fp4
224
+ - bnb_4bit_use_double_quant: True
225
+ - bnb_4bit_compute_dtype: float16
226
+
227
+ The following `bitsandbytes` quantization config was used during training:
228
+ - load_in_8bit: False
229
+ - load_in_4bit: True
230
+ - llm_int8_threshold: 6.0
231
+ - llm_int8_skip_modules: None
232
+ - llm_int8_enable_fp32_cpu_offload: False
233
+ - llm_int8_has_fp16_weight: False
234
+ - bnb_4bit_quant_type: fp4
235
+ - bnb_4bit_use_double_quant: True
236
+ - bnb_4bit_compute_dtype: float16
237
+
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  The following `bitsandbytes` quantization config was used during training:
239
  - load_in_8bit: False
240
  - load_in_4bit: True
 
261
  - PEFT 0.4.0.dev0
262
  - 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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- oid sha256:7b84f642ca839980d04318d50e84cc6946156ef3313deadf59c8ae5c9cec2b37
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  size 324598229
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:25613c9b9ed16e0aabe1d3b2fc32ac84589d3c3b3bfa6b895b119161112cfd5f
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  size 324598229