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Model: sarahlintang/mistral-indo-7b
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- id
+tags:
+- mistral
+- text-generation-inference
+---
+### mistral-indo-7b
+
+[Mistral 7b v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) fine-tuned on [Indonesian's instructions dataset](https://huggingface.co/datasets/sarahlintang/Alpaca_indo_instruct).
+
+
+### Prompt template:
+```
+### Human: {Instruction}### Assistant: {response}
+```
+
+### Example of Usage
+```
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer, AutoTokenizer, GenerationConfig
+
+model_id = "sarahlintang/mistral-indo-7b"
+
+model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True).to("cuda")
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+def create_instruction(instruction):
+    prompt = f"### Human: {instruction} ### Assistant: "
+    return prompt
+
+
+def generate(
+        instruction,
+        max_new_tokens=128,
+        temperature=0.1,
+        top_p=0.75,
+        top_k=40,
+        num_beams=4,
+        **kwargs
+):
+    
+    prompt = create_instruction(instruction)
+    inputs = tokenizer(prompt, return_tensors="pt")
+    input_ids = inputs["input_ids"].to("cuda")
+    attention_mask = inputs["attention_mask"].to("cuda")
+    generation_config = GenerationConfig(
+        temperature=temperature,
+        top_p=top_p,
+        top_k=top_k,
+        num_beams=num_beams,
+        **kwargs,
+    )
+    with torch.no_grad():
+        generation_output = model.generate(
+            input_ids=input_ids,
+            attention_mask=attention_mask,
+            generation_config=generation_config,
+            return_dict_in_generate=True,
+            output_scores=True,
+            max_new_tokens=max_new_tokens,
+            early_stopping=True
+        )
+    s = generation_output.sequences[0]
+    output = tokenizer.decode(s)
+    return output.split("### Assistant:")[1].strip()
+
+instruction = "Sebutkan lima macam makanan khas Indonesia."
+print(generate(instruction))
+
+```

config.json

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+{
+  "_name_or_path": "ybelkada/Mistral-7B-v0.1-bf16-sharded",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.35.0.dev0"
+}

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tokenizer_config.json

@@ -0,0 +1,45 @@
+{
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true,
+  "chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}### Human: {{ message['content'] }}{% elif message['role'] == 'assistant' %}### Assistant: {{ message['content'] }}{% endif %}\n\n{% endfor %}### Assistant: "
+}