Initial upload of MyAwesome-299M-Model

.gitattributes

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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+- en
+license: mit
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- demo
+- llama
+- efficient
+base_model: gpt2-medium
+model_type: llama
+---
+
+# MyAwesome-299M-Model (Demo)
+
+A compact demo language model showcasing the Transfer-First LLM Framework capabilities.
+
+## Model Details
+
+- **Model Type:** Decoder-only transformer (Llama architecture)
+- **Parameters:** ~52M (demo size)
+- **Architecture:** 512d × 8 layers
+- **Vocabulary:** 50,257 tokens (GPT-2 compatible)
+- **Context Length:** 1,024 tokens
+- **Attention:** Grouped-Query Attention (GQA)
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("shivash/MyAwesome-299M-Model")
+tokenizer = AutoTokenizer.from_pretrained("shivash/MyAwesome-299M-Model")
+
+# Generate text
+prompt = "The future of AI is"
+inputs = tokenizer(prompt, return_tensors="pt")
+
+with torch.no_grad():
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=50,
+        temperature=0.7,
+        do_sample=True,
+        pad_token_id=tokenizer.eos_token_id
+    )
+
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+## Framework
+
+This model demonstrates the Transfer-First LLM Framework:
+- Compact, efficient architecture
+- Ready for adapter-based fine-tuning
+- Optimized for parameter efficiency
+
+## License
+
+MIT License
+
+---
+
+*Demo model from the Transfer-First LLM Framework*

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 512,
+  "initializer_range": 0.02,
+  "intermediate_size": 2048,
+  "max_position_embeddings": 1024,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 8,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.56.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3398b1b6c998db4e93608362bb4182cce117e66315d3acf16d46d9b11d867c53
+size 228798488

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}