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README.md

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+---
+library_name: transformers
+license: apache-2.0
+datasets:
+  - HuggingFaceTB/smol-smoltalk
+language:
+  - en
+base_model:
+  - Felladrin/Minueza-2-96M
+tags:
+  - llama-factory
+---
+
+# Minueza-2-96M-Instruct (Variant 01)
+
+This model is a fine-tuned version of [Felladrin/Minueza-2-96M](https://huggingface.co/Felladrin/Minueza-2-96M) on the English [HuggingFaceTB/smol-smoltalk](https://huggingface.co/datasets/HuggingFaceTB/smol-smoltalk) dataset.
+
+## Usage
+
+```sh
+pip install transformers==4.50.0 torch==2.6.0
+```
+
+```python
+from transformers import pipeline, TextStreamer
+import torch
+
+generate_text = pipeline(
+    "text-generation",
+    model="Felladrin/Minueza-2-96M-Instruct-Variant-01",
+    device=torch.device("cuda" if torch.cuda.is_available() else "cpu"),
+)
+
+messages = [
+    {
+        "role": "system",
+        "content": "You are an assistant with vast experience in opening companies.",
+    },
+    {
+        "role": "user",
+        "content": "Hi!",
+    },
+    {
+        "role": "assistant",
+        "content": "Hello! How can I help you?",
+    },
+    {
+        "role": "user",
+        "content": "List the main challenges of opening a company.",
+    },
+]
+
+generate_text(
+    generate_text.tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    ),
+    streamer=TextStreamer(generate_text.tokenizer, skip_special_tokens=True),
+    max_new_tokens=512,
+    do_sample=True,
+    temperature=0.7,
+    top_p=0.9,
+    top_k=0,
+    min_p=0.1,
+    repetition_penalty=1.12,
+)
+```
+
+## Training hyperparameters
+
+The following hyperparameters were used during training:
+
+- learning_rate: 7.5e-05
+- train_batch_size: 64
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 7186
+
+## Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.0
+
+## License
+
+This model is licensed under the Apache License 2.0.

config.json

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+{
+  "architectures": ["LlamaForCausalLM"],
+  "attention_bias": false,
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 56,
+  "hidden_act": "silu",
+  "hidden_size": 672,
+  "initializer_range": 0.02,
+  "intermediate_size": 2688,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 8,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-6,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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runs/Apr05_13-53-04_6c3624569510/events.out.tfevents.1743861235.6c3624569510.71528.0

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tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|im_start|>",
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a highly knowledgeable and friendly assistant. Your goal is to understand and respond to user inquiries with clarity. Your interactions are always respectful, helpful, and focused on delivering the most accurate information to the user.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "model_max_length": 4096,
+  "pad_token": "<|im_end|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "truncation_side": "right",
+  "unk_token": "<unk>"
+}