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Model: pvlabs/Chytrej2-Mini
Source: Original Platform

.gitattributes

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README.md

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+---
+language:
+- en
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- llama
+- causal-lm
+- pretrained
+- chytrej
+- base
+- tiny
+library_name: transformers
+datasets:
+- HuggingFaceFW/fineweb-edu
+---
+
+# Chytrej2-Mini
+
+A fully custom pretrained language model built from scratch on the LLaMA architecture trained on 2B tokens of the [FineWeb Edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) dataset.
+
+Built by [PingVortex Labs](https://github.com/PingVortexLabs).
+
+[![Discord](https://img.shields.io/badge/Discord-5865F2?logo=discord&logoColor=white)](https://discord.gg/5SzkjVJBs2)
+
+---
+
+## Model Details
+
++ **Parameters:** 20M
++ **Context length:** 1024 tokens
++ **Language:** English only
++ **Format:** Base model
++ **Architecture:** LLaMA
++ **License:** Apache 2.0
+
+---
+
+## Benchmark
++ The model achieves score of 35.77% on ARC-Easy benchmark.
+
+---
+
+## Usage
+
+```python
+from transformers import LlamaForCausalLM, PreTrainedTokenizerFast
+
+model = LlamaForCausalLM.from_pretrained("pvlabs/Chytrej2-Mini")
+tokenizer = PreTrainedTokenizerFast.from_pretrained("pvlabs/Chytrej2-Mini")
+
+prompt = "Neural Networks are"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100, repetition_penalty=1.3)
+print(tokenizer.decode(outputs[0]))
+```
+
+---
+
+*Made by [PingVortex](https://pingvortex.com).*

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1024,
+  "max_position_embeddings": 1024,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 6,
+  "num_hidden_layers": 5,
+  "num_key_value_heads": 2,
+  "pad_token_id": 3,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 10000.0,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.3.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 2,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pad_token_id": 3,
+  "transformers_version": "5.3.0",
+  "use_cache": false
+}

model.safetensors

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tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<|im_start|>",
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|endoftext|>",
+    "<|padding|>"
+  ],
+  "is_local": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|padding|>",
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": null
+}