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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ 4BIT_FP/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ 4BIT_NF/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ 4BIT/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ 8BIT/tokenizer.json filter=lfs diff=lfs merge=lfs -text
4BIT/4BIT.py ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
2
+ import torch
3
+
4
+ ### Config Quantização
5
+ quantization = BitsAndBytesConfig (
6
+ load_in_4bit = True,
7
+ )
8
+
9
+ # Caminho do modelo caso seja self hosted
10
+ PATH = r""
11
+ # Nome do modelo HF
12
+ MODEL = "amalia-llmAMALIA-9B-0626-SFT"
13
+
14
+ modelo = AutoModelForCausalLM.from_pretrained (PATH, device_map = "auto", quantization_config = quantization)
15
+ tokenizer = AutoTokenizer.from_pretrained (PATH)
16
+
17
+ modelo.save_pretrained (r"")
18
+ tokenizer.save_pretrained (r"")
4BIT/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {% if messages[0]['role'] != 'system' %}{% set messages = [{'role': 'system', 'content': 'O teu nome é AMALIA, e és um modelo avançado de linguagem útil. Responde sempre na língua do utilizador, a menos que sejas instruído em contrário, e lembra-te que a tua língua principal é o português europeu.'}] + messages %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{ '<|im_start|>' + message['role'] + '
2
+ ' + message['content'] + '<|im_end|>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
4
+ ' }}{% endif %}
4BIT/config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "dtype": "bfloat16",
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_hidden_layers": 42,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 2,
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+ "pretraining_tp": 1,
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+ "quantization_config": {
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+ "_load_in_4bit": true,
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+ "_load_in_8bit": false,
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+ "bnb_4bit_compute_dtype": "float32",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "fp4",
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+ "bnb_4bit_use_double_quant": false,
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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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+ "llm_int8_skip_modules": null,
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": true,
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+ "load_in_8bit": false,
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+ "quant_method": "bitsandbytes"
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_parameters": {
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+ "rope_theta": 1000000,
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+ "rope_type": "default"
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+ },
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+ "tie_word_embeddings": false,
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+ "transformers_version": "5.12.1",
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+ "use_cache": false,
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+ "vocab_size": 128000
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+ }
4BIT/generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 1,
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+ 4,
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+ 2
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+ ],
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+ "pad_token_id": 2,
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+ "transformers_version": "5.12.1"
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+ }
4BIT/model.safetensors ADDED
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+ size 6656203650
4BIT/tokenizer.json ADDED
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+ version https://git-lfs.github.com/spec/v1
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4BIT/tokenizer_config.json ADDED
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+ {
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+ "add_prefix_space": true,
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+ "backend": "tokenizers",
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "is_local": true,
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+ "local_files_only": false,
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "</s>",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "LlamaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }
4BIT_FP/4BITFP.py ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
2
+ import torch
3
+
4
+ ### Config Quantização
5
+ quantization = BitsAndBytesConfig (
6
+ load_in_4bit = True,
7
+ bnb_4bit_quant_type = 'fp4', #Tipo de Quantização
8
+ bnb_4bit_use_double_quant = True, #Double Quantization
9
+ bnb_4bit_compute_dtype = 'float16', #Tipo de precisão usada nos cálculos durante a inferência
10
+ )
11
+
12
+
13
+ # Caminho do modelo caso seja self hosted
14
+ PATH = r""
15
+ # Nome do modelo HF
16
+ MODEL = "amalia-llmAMALIA-9B-0626-SFT"
17
+
18
+ modelo = AutoModelForCausalLM.from_pretrained (PATH, device_map = "auto", quantization_config = quantization)
19
+ tokenizer = AutoTokenizer.from_pretrained (PATH)
20
+
21
+ modelo.save_pretrained (r"")
22
+ tokenizer.save_pretrained (r"")
4BIT_FP/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {% if messages[0]['role'] != 'system' %}{% set messages = [{'role': 'system', 'content': 'O teu nome é AMALIA, e és um modelo avançado de linguagem útil. Responde sempre na língua do utilizador, a menos que sejas instruído em contrário, e lembra-te que a tua língua principal é o português europeu.'}] + messages %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{ '<|im_start|>' + message['role'] + '
2
+ ' + message['content'] + '<|im_end|>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
4
+ ' }}{% endif %}
4BIT_FP/config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "dtype": "bfloat16",
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+ "eos_token_id": 4,
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 12288,
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+ "max_position_embeddings": 32768,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 42,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 2,
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+ "pretraining_tp": 1,
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+ "quantization_config": {
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+ "_load_in_4bit": true,
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+ "_load_in_8bit": false,
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+ "bnb_4bit_compute_dtype": "float16",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "fp4",
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+ "bnb_4bit_use_double_quant": true,
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+ "llm_int8_enable_fp32_cpu_offload": false,
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+ "llm_int8_skip_modules": null,
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": true,
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+ "load_in_8bit": false,
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+ "quant_method": "bitsandbytes"
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_parameters": {
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+ "rope_theta": 1000000,
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+ "rope_type": "default"
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+ },
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+ "tie_word_embeddings": false,
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+ "transformers_version": "5.12.1",
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+ "use_cache": false,
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+ "vocab_size": 128000
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+ }
4BIT_FP/generation_config.json ADDED
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+ {
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+ 2
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+ ],
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+ "pad_token_id": 2,
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+ "transformers_version": "5.12.1"
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+ }
4BIT_FP/model.safetensors ADDED
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+ size 6278731678
4BIT_FP/tokenizer.json ADDED
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+ version https://git-lfs.github.com/spec/v1
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4BIT_FP/tokenizer_config.json ADDED
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+ {
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+ "backend": "tokenizers",
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "is_local": true,
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+ "pad_token": "</s>",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "LlamaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }
4BIT_NF/4BITNF.py ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
2
+ import torch
3
+
4
+ ### Config Quantização
5
+ quantization = BitsAndBytesConfig (
6
+ load_in_4bit = True,
7
+ bnb_4bit_quant_type = 'nf4', #Tipo de Quantização
8
+ bnb_4bit_use_double_quant = True, #Double Quantization
9
+ bnb_4bit_compute_dtype = 'float16', #Tipo de precisão usada nos cálculos durante a inferência
10
+ )
11
+
12
+
13
+ # Caminho do modelo caso seja self hosted
14
+ PATH = r""
15
+ # Nome do modelo HF
16
+ MODEL = "amalia-llmAMALIA-9B-0626-SFT"
17
+
18
+ modelo = AutoModelForCausalLM.from_pretrained (PATH, device_map = "auto", quantization_config = quantization)
19
+ tokenizer = AutoTokenizer.from_pretrained (PATH)
20
+
21
+ modelo.save_pretrained (r"")
22
+ tokenizer.save_pretrained (r"")
4BIT_NF/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {% if messages[0]['role'] != 'system' %}{% set messages = [{'role': 'system', 'content': 'O teu nome é AMALIA, e és um modelo avançado de linguagem útil. Responde sempre na língua do utilizador, a menos que sejas instruído em contrário, e lembra-te que a tua língua principal é o português europeu.'}] + messages %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{ '<|im_start|>' + message['role'] + '
2
+ ' + message['content'] + '<|im_end|>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
4
+ ' }}{% endif %}
4BIT_NF/config.json ADDED
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+ {
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "pretraining_tp": 1,
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+ "quantization_config": {
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+ "_load_in_4bit": true,
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+ "_load_in_8bit": false,
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+ "bnb_4bit_compute_dtype": "float16",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "nf4",
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+ "bnb_4bit_use_double_quant": true,
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": true,
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+ "load_in_8bit": false,
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+ "quant_method": "bitsandbytes"
37
+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_parameters": {
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+ "rope_theta": 1000000,
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+ "rope_type": "default"
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+ },
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+ "tie_word_embeddings": false,
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+ "transformers_version": "5.12.1",
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+ "use_cache": false,
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+ "vocab_size": 128000
47
+ }
4BIT_NF/generation_config.json ADDED
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+ {
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+ 2
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+ ],
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+ "pad_token_id": 2,
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+ "transformers_version": "5.12.1"
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+ }
4BIT_NF/model.safetensors ADDED
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+ size 6278731678
4BIT_NF/tokenizer.json ADDED
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+ size 15782929
4BIT_NF/tokenizer_config.json ADDED
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+ {
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+ "backend": "tokenizers",
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "is_local": true,
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+ "local_files_only": false,
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "</s>",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "LlamaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }
8BIT/8BIT.py ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
2
+ import torch
3
+
4
+ ### Config Quantização
5
+ quantization = BitsAndBytesConfig (
6
+ load_in_8bit = True,
7
+ )
8
+
9
+ # Caminho do modelo caso seja self hosted
10
+ PATH = r""
11
+ # Nome do modelo HF
12
+ MODEL = "amalia-llmAMALIA-9B-0626-SFT"
13
+
14
+ modelo = AutoModelForCausalLM.from_pretrained (PATH, device_map = "auto", quantization_config = quantization)
15
+ tokenizer = AutoTokenizer.from_pretrained (PATH)
16
+
17
+ modelo.save_pretrained (r"")
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+ tokenizer.save_pretrained (r"")
8BIT/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {% if messages[0]['role'] != 'system' %}{% set messages = [{'role': 'system', 'content': 'O teu nome é AMALIA, e és um modelo avançado de linguagem útil. Responde sempre na língua do utilizador, a menos que sejas instruído em contrário, e lembra-te que a tua língua principal é o português europeu.'}] + messages %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{ '<|im_start|>' + message['role'] + '
2
+ ' + message['content'] + '<|im_end|>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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+ ' }}{% endif %}
8BIT/config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ "hidden_act": "silu",
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+ "quantization_config": {
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+ "_load_in_8bit": true,
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+ "bnb_4bit_compute_dtype": "float32",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "fp4",
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+ "bnb_4bit_use_double_quant": false,
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": false,
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+ "load_in_8bit": true,
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+ "quant_method": "bitsandbytes"
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+ "rms_norm_eps": 1e-05,
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+ "rope_parameters": {
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+ "rope_theta": 1000000,
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+ "rope_type": "default"
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+ },
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+ "tie_word_embeddings": false,
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+ "transformers_version": "5.12.1",
45
+ "use_cache": false,
46
+ "vocab_size": 128000
47
+ }
8BIT/generation_config.json ADDED
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+ {
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+ 2
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+ ],
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+ "pad_token_id": 2,
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+ "transformers_version": "5.12.1"
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+ }
8BIT/model.safetensors ADDED
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