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- README.md +82 -0
- config.json +28 -0
- generation_config.json +12 -0
- model-00001-of-00062.safetensors +3 -0
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README.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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- valiant
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- valiant-labs
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- llama
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- llama-3
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- llama-3-instruct
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- llama-3-instruct-70b
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- 70b
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- function-calling
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- conversational
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- chat
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- instruct
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model_type: llama
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license: llama3
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---
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/qg49GOlx8zogDOrMTnb89.jpeg)
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Fireplace is a function-calling model for Llama 3 70b Instruct.
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- combines function-calling abilities with a high-performance, versatile chat model
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- function-calling utilizing the Llama 3 Instruct format
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This version of Fireplace, like our previous [Fireplace-13b](https://huggingface.co/ValiantLabs/Fireplace-13b) and [Fireplace-34b](https://huggingface.co/ValiantLabs/Fireplace-34b) models, focuses on combining chat-instruct and function-calling only.
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**We're working now on Fireplace 2 for Llama 3**, which will include function calling as one of **several enhanced technical skills**.
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## Version
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This is the **2024-05-09** release of Fireplace for Llama 3 70b.
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We're excited to bring additional releases for Fireplace and other models in our Build Tools lineup to Llama 3 soon!
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## Prompting Guide
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Fireplace uses the [Llama 3 Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) prompt format:
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>{{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>{{ user_msg_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>{{ model_answer_1 }}<|eot_id|>
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Example input for function calling:
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n You are Fireplace, an expert code assistant with access to the following functions. Use them if required - { "name": "calculate_tip", "description": "Calculate the tip amount for a bill", "parameters": { "type": "object", "properties": { "bill_amount": { "type": "number", "description": "The total amount of the bill" }, "tip_percentage": { "type": "number", "description": "The percentage of tip to be given" } }, "required": [ "bill_amount", "tip_percentage" ] } } { "name": "check_website_availability", "description": "Check the availability of a website", "parameters": { "type": "object", "properties": { "url": { "type": "string", "description": "The URL of the website" } }, "required": [ "url" ] } } <|eot_id|><|start_header_id|>user<|end_header_id|>\n\nHi, I need help with calculating a tip. My bill is $100 and I want to leave a 30% tip. <|eot_id|><|start_header_id|>assistant<|end_header_id|>
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For assistant handling of function responses, deliver them in a new user message:
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<|start_header_id|>user<|end_header_id|>\n\n FUNCTION RESPONSE: {"status": "success", "message": "Email has been sent successfully"} <|eot_id|>
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## WARNING: text-generation-webui
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When using Llama 3 Instruct models (including Fireplace) with [text-generation-webui](https://github.com/oobabooga/text-generation-webui/tree/main) note that a current bug in webui can result in incorrect reading of the model's ending tokens, causing unfinished outputs and incorrect structure.
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For a [temporary workaround](https://github.com/oobabooga/text-generation-webui/issues/5885) if you encounter this issue, edit Fireplace's tokenizer_config file as indicated:
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from "eos_token": "<|end_of_text|>",
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to "eos_token": "<|eot_id|>",
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## The Model
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Fireplace is built on top of Llama 3 70b Instruct, the highest performance open-source model currently available.
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This version of Fireplace uses the [glaiveai/glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) dataset converted to Llama 3 Instruct format.
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
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Fireplace is created by [Valiant Labs.](http://valiantlabs.ca/)
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[Check out our HuggingFace page for Shining Valiant 2 and our other models!](https://huggingface.co/ValiantLabs)
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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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config.json
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{
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"_name_or_path": "ValiantLabs/Llama3-70B-Fireplace",
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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": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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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": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size": 128256
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}
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generation_config.json
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": [
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128001,
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128009
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],
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"max_length": 4096,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.40.2"
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}
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