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Model: mesolitica/llama-600m-hf-32768-fpf
Source: Original Platform

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README.md

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+---
+language:
+- ms
+---
+
+# Full Parameter Finetuning 600M 32768 context length Llama2 on Malaysian text
+
+600M derived from first 2 layers 7B model.
+
+README at https://github.com/mesolitica/malaya/tree/5.1/session/llama2#600m-32768-context-length-flash-attention-2
+
+WandB, https://wandb.ai/mesolitica/fpf-Llama-2-600m-32k-hf

config.json

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+{
+  "_name_or_path": "fpf-600m-32k/checkpoint-15300",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 32768,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 2,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.31.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.31.0"
+}

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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