Duplicate from microsoft/rho-math-1b-v0.1

Co-authored-by: Zhibin Gou (alt) <[email protected]>

.gitattributes

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README.md

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+---
+license: mit
+tags:
+- nlp
+- math
+language:
+- en
+pipeline_tag: text-generation
+---
+
+## Rho-1: Not All Tokens Are What You Need
+
+
+The Rho-1 series are pretrained language models that utilize Selective Language Modeling (SLM) objectives.
+In math reasoning pretraining, SLM improves average few-shot accuracy on GSM8k and MATH by over 16%, achieving the baseline performance 5-10x faster.
+
+
+For more details please check our [github](https://github.com/microsoft/rho) and [paper](https://arxiv.org/abs/2404.07965).

config.json

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+{
+  "_name_or_path": "rho-math-1b-v0.1",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.38.2"
+}

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special_tokens_map.json

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+    "lstrip": false,
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+    "rstrip": false,
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tokenizer_config.json

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+  "add_eos_token": false,
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+  "legacy": false,
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+  "pad_token": null,
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}