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Model: unclemusclez/Unsloth-Llama-3.2-3B-Instruct-Devinator-v1
Source: Original Platform

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README.md

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+---
+tags:
+- autotrain
+- text-generation-inference
+- text-generation
+- peft
+library_name: transformers
+base_model: unsloth/Llama-3.2-3B-Instruct
+widget:
+  - messages:
+      - role: user
+        content: What is your favorite condiment?
+license: other
+datasets:
+- skratos115/opendevin_DataDevinator
+---
+
+# Model Trained Using AutoTrain
+
+This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
+
+# Usage
+
+```python
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_path = "PATH_TO_THIS_REPO"
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    device_map="auto",
+    torch_dtype='auto'
+).eval()
+
+# Prompt content: "hi"
+messages = [
+    {"role": "user", "content": "hi"}
+]
+
+input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
+output_ids = model.generate(input_ids.to('cuda'))
+response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
+
+# Model response: "Hello! How can I assist you today?"
+print(response)
+```

Unsloth-Llama-3.2-3B-Instruct-Devinator-F16.gguf

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config.json

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+  "_name_or_path": "unsloth/Llama-3.2-3B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
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+  "bos_token_id": 128000,
+  "eos_token_id": [
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+  ],
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+  "hidden_act": "silu",
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+  "model_type": "llama",
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+    "rope_type": "llama3"
+  },
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+  "tie_word_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.0.dev0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

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+  "do_sample": true,
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+  "transformers_version": "4.46.0.dev0"
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special_tokens_map.json

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training_params.json

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