Delete .ipynb_checkpoints
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.ipynb_checkpoints/README-checkpoint.md
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---
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- fireplace
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- function-calling
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- code
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- code-instruct
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- valiant
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- valiant-labs
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- llama
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- llama-2
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- llama-2-chat
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- 13b
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model_type: llama
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license: apache-2.0
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---
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Fireplace-13b is a function calling model built on the Llama 2 architecture.
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- Built on llama-2-13b architecture, using [CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf) as the base model.
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- Emphasizes function calling and code-instruct as skills.
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- Version 1.1 improves output structure for a superior user experience.
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(If you're looking for a friendly general-purpose chat model, try ours: [llama-13b](https://huggingface.co/ValiantLabs/ShiningValiantXS) and [70b](https://huggingface.co/ValiantLabs/ShiningValiant))
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## Version
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This is Version **1.1** of Fireplace-13b.
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The current version of Fireplace-13b uses [CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf) trained on [glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2).
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Fireplace is the first release in our Build Tools campaign, to deliver helpful open source capabilities for users and creators.
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**The next release in our Build Tools series will be coming soon, with an initial release at 70b parameters** - we're very excited to bring this to everyone!
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We're also working to bring Fireplace to larger model architectures, to maximize baseline model capability and function-calling performance.
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## Prompting Guide
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Fireplace-13b specializes in function calling and code instruct/chat.
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See [CodeLlama-13b-Instruct-hf](codellama/CodeLlama-13b-Instruct-hf) for code capabilities of the base model.
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For function calling in this version of the model, the recommended format is to deliver the function(s) in a system message and then proceed with chat:
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SYSTEM: You are Fireplace, an expert code assistant with access to the following functions. Use them if required -
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{
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""name"": ""function_name"",
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}
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USER: Can you (do thing from function)?
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ASSISTANT:
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Assistant will deliver function call responses between \<functioncall> and <|endoftext|>:
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(Please note that <|endoftext|> is not an EOS/EOT token, it is used to indicate the end of function call responses specifically.)
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For handling of function call responses, append "FUNCTION RESPONSE: " to the existing chat history:
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Fireplace is optimized for function/code capabilities and not general chat, but it has also been trained to utilize general instruct-chat capabilities:
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SYSTEM: You are a helpful assistant.
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USER: user chat input
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ASSISTANT:
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The model may be subject to errors and limitations, including those of the base model and dataset. We offer Fireplace-13b as open source for all to use. The user is responsible for all outputs.
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Fireplace is created by [Valiant Labs.](http://valiantlabs.ca/)
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Try our flagship chat model, [Shining Valiant!](https://huggingface.co/ValiantLabs/ShiningValiant)
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[Follow us on X for updates on our models!](https://twitter.com/valiant_labs)
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We care about open source.
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For everyone to use.
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We encourage others to finetune further from our models.
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.ipynb_checkpoints/config-checkpoint.json
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{
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"_name_or_path": "ValiantLabs/Fireplace-13b",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 40,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.37.2",
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"use_cache": true,
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"vocab_size": 32016
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}
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.ipynb_checkpoints/generation_config-checkpoint.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.37.2"
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}
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.ipynb_checkpoints/model.safetensors.index-checkpoint.json
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{
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"metadata": {
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"total_size": 52064112640
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