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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 +116 -0
  2. adapter_config.json +26 -0
  3. adapter_model.bin +3 -0
README.md ADDED
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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
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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
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
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+ - bnb_4bit_use_double_quant: True
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+ - 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
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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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+
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
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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:
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
94
+
95
+ The following `bitsandbytes` quantization config was used during training:
96
+ - load_in_8bit: False
97
+ - load_in_4bit: True
98
+ - llm_int8_threshold: 6.0
99
+ - llm_int8_skip_modules: None
100
+ - llm_int8_enable_fp32_cpu_offload: False
101
+ - 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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+ ### 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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+ - PEFT 0.4.0.dev0
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+
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+ - PEFT 0.4.0.dev0
adapter_config.json ADDED
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+ {
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+ "base_model_name_or_path": "openlm-research/open_llama_7b_v2",
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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": 64,
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+ "lora_dropout": 0.0,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "revision": null,
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+ "target_modules": [
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+ "gate_proj",
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+ "down_proj",
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+ "up_proj",
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+ "v_proj",
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+ "q_proj",
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+ "k_proj",
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+ "o_proj",
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+ "embed_tokens"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
adapter_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c81ba92493358f133b6044ba37b6d4fcad5bcfdb7daad34f0ddfc91561e887f8
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+ size 324598229