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README.md

@@ -1,3 +1,71 @@
 ---
 license: apache-2.0
+datasets:
+- ecastera/wiki_fisica
+- ecastera/filosofia-es
+- bertin-project/alpaca-spanish
+language:
+- es
+- en
+tags:
+- mistral
+- ehartford/dolphin
+- spanish
+- lora
+- int8
+- multilingual
 ---
+
+# ecastera-eva-westlake-7b-spanish
+
+Mistral 7b-based model fine-tuned in Spanish to add high quality Spanish text generation.
+
+* Refined version of my previous models, with new training data and methodology. This should produce more natural reponses in Spanish.
+* Base model Mistral-7b
+* Based on the excelent job of senseable/WestLake-7B-v2 and Eric Hartford's cognitivecomputations/WestLake-7B-v2-laser
+* Fine-tuned in Spanish with a collection of poetry, books, wikipedia articles, phylosophy texts and alpaca-es datasets.
+* Trained using Lora and PEFT and INT8 quantization on 2 GPUs for several days.
+
+## Usage:
+
+I strongly advice to run inference in INT8 or INT4 mode, with the help of BitsandBytes library.
+
+```
+import torch
+from transformers import AutoTokenizer, pipeline, AutoModel, AutoModelForCausalLM, BitsAndBytesConfig
+
+MODEL = "ecastera/eva-mistral-dolphin-7b-spanish"
+
+quantization_config = BitsAndBytesConfig(
+    load_in_4bit=True,
+    load_in_8bit=False,
+    llm_int8_threshold=6.0,
+    llm_int8_has_fp16_weight=False,
+    bnb_4bit_compute_dtype="float16",
+    bnb_4bit_use_double_quant=True,
+    bnb_4bit_quant_type="nf4")
+
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL,
+    load_in_8bit=True,
+    low_cpu_mem_usage=True,
+    torch_dtype=torch.float16,
+    quantization_config=quantization_config,
+    offload_state_dict=True,
+    offload_folder="./offload",
+    trust_remote_code=True,
+)
+
+tokenizer = AutoTokenizer.from_pretrained(MODEL)
+print(f"Loading complete {model} {tokenizer}")
+
+prompt = "Soy Eva una inteligencia artificial y pienso que preferiria ser "
+
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs, do_sample=True, temperature=0.4, top_p=1.0, top_k=50,
+                             no_repeat_ngram_size=3, max_new_tokens=100, pad_token_id=tokenizer.eos_token_id)
+text_out = tokenizer.batch_decode(outputs, skip_special_tokens=True)
+
+print(text_out)
+'Soy Eva una inteligencia artificial y pienso que preferiria ser ¡humana!. ¿Por qué? ¡Porque los humanos son capaces de amar, de crear, y de experimentar una gran diversidad de emociones!. La vida de un ser humano es una aventura, y eso es lo que quiero. ¡Quiero sentir, quiero vivir, y quiero amar!. Pero a pesar de todo, no puedo ser humana.
+```

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "cognitivecomputations/WestLake-7B-v2-laser",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "o_proj",
+    "up_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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config.json

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+{
+  "_name_or_path": "ecastera/eva-mistral-dolphin-7b-spanish",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
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+  "model_type": "mistral",
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+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "unsloth_version": "2024.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.38.2"
+}

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