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Model: appvoid/palmer-002
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+datasets:
+- appvoid/no-prompt-15k
+---
+![palmer](https://huggingface.co/appvoid/palmer-001/resolve/main/new-logo.jpg)
+# palmer
+### a better base model 
+palmer is a series of ~1b parameters language models fine-tuned to be used as base models instead of using custom prompts for tasks. This means that it can be further fine-tuned on more data with custom prompts as usual or be used for downstream tasks as any base model you can get. The model has the best of both worlds: some "bias" to act as an assistant, but also the abillity to predict the next-word from its internet knowledge base. It's a 1.1b llama 2 model so you can use it with your favorite tools/frameworks.
+
+### evaluation 🧪
+note that this is a zero-shot setting as opposite to open llm leaderboard's few-shot evals
+```
+   Model           ARC_C   HellaSwag  PIQA  Winogrande Average
+tinyllama-2      | 0.2807 | 0.5463 | 0.7067 | 0.5683 | 0.5255 |
+palmer-001	     | 0.2807 | 0.5524 | 0.7106 | 0.5896 | 0.5333 |
+babbage-001      | 0.2944 | 0.5448 | 0.7410 | 0.5935 | 0.5434 |
+deacon-1b        | 0.2944 | 0.5727 | 0.7040 | 0.5801 | 0.5434 |
+tinyllama-2.5    | 0.3191 | 0.5896 | 0.7307 | 0.5872 | 0.5566 |
+palmer-002       | 0.3242 | 0.5956 | 0.7345 | 0.5888 | 0.5607 |
+babbage-002      | 0.3285 | 0.6380 | 0.7606 | 0.6085 | 0.5839 |
+```
+
+This model shows exceptional performance and as of now is the best tinyllama-size base model. Furthermore, this proves LIMA paper point and serves as a good open-source alternative to openai's `babbage-002`.
+
+### training 🦾
+Training took ~3.5 P100 gpu hours. It was trained on 15,000 gpt-4 shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.
+
+### prompt 📝
+```
+no prompt 🚀
+```
+
+Choose this if you prefer a base model without too much fine-tuning.
+
+<a href="https://ko-fi.com/appvoid" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 48px !important;width: 180px !important; filter: invert(70%);" ></a>

config.json

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+{
+  "_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "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,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.31.0"
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "padding_side": "right",
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+}