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- Delete .ipynb_checkpoints (61bd86eb52a998563dce9bbceeff6dc3d9d6b7ba)
- 1.1 examples (880c754c89c92751a9642394a14ddb5e5a425970)


Co-authored-by: scott <sequelbox@users.noreply.huggingface.co>

README.md

@@ -23,17 +23,20 @@ license: apache-2.0
 
 Fireplace-13b is a function calling model built on the Llama 2 architecture.
   - Built on llama-2-13b architecture, using [CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf) as the base model.
-  - Emphasizes function calling and code-instruct as skills. 
+  - Emphasizes function calling and code-instruct as skills.
+  - Version 1.1 improves output structure for a superior user experience.
 
 (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))
 
 ## Version
 
-This is Version **1.0** of Fireplace-13b. 
+This is Version **1.1** of Fireplace-13b. 
 
 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).
 
-Fireplace is the first release in our Build Tools campaign, to deliver helpful open source capabilities for users and creators. We're excitedly working on our next open source models now!
+Fireplace is the first release in our Build Tools campaign, to deliver helpful open source capabilities for users and creators.
+
+**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!
 
 We're also working to bring Fireplace to larger model architectures, to maximize baseline model capability and function-calling performance.
 
@@ -42,25 +45,29 @@ Fireplace-13b specializes in function calling and code instruct/chat.
 
 See [CodeLlama-13b-Instruct-hf](codellama/CodeLlama-13b-Instruct-hf) for code capabilities of the base model.
 
-For function calling in this version of the model, the recommended format is taken from [the training dataset](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2). Assistant can make function calls, which are given between \<functioncall> and <|endoftext|>: 
+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:
 
+SYSTEM: You are Fireplace, an expert code assistant with access to the following functions. Use them if required -
+{
+    ""name"": ""function_name"",
+}
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/WTX8qlnXXw2PQ9t6OI1VB.png)
+USER: Can you (do thing from function)?
 
+ASSISTANT: 
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/oJGb5hpUTy1KPxIdaIG5F.png)
+Assistant will deliver function call responses between \<functioncall> and <|endoftext|>: 
 
 
-(Please note that <|endoftext|> is not an EOS/EOT token, it is used to indicate the end of an 'ASSISTANT: ' response in the training data. Post-processing should be used to extract the function response as required by the user.)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/rpfkQKAS0E3483Qxn1HIF.png)
 
-For handling of function call responses, append "FUNCTION RESPONSE: " to the existing chat history:
 
+(Please note that <|endoftext|> is not an EOS/EOT token, it is used to indicate the end of function call responses specifically.)
 
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/6D0KnhAZPDUOZOJM_btTn.png)
+For handling of function call responses, append "FUNCTION RESPONSE: " to the existing chat history:
 
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/Ruwdx_hxGmFdedzQ7d-ZJ.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/2bKX9Zsk6pHJxKYqEprcq.png)
 
 
 Fireplace is optimized for function/code capabilities and not general chat, but it has also been trained to utilize general instruct-chat capabilities:

config.json

@@ -22,7 +22,7 @@
   "rope_theta": 1000000,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.36.2",
+  "transformers_version": "4.37.2",
   "use_cache": true,
   "vocab_size": 32016
 }

generation_config.json

@@ -2,5 +2,5 @@
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   "bos_token_id": 1,
   "eos_token_id": 2,
-  "transformers_version": "4.36.2"
+  "transformers_version": "4.37.2"
 }

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tokenizer_config.json

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   "prefix_token": "▁<PRE>",
   "sp_model_kwargs": {},
   "suffix_token": "▁<SUF>",
-  "tokenizer_class": "LlamaTokenizer",
+  "tokenizer_class": "CodeLlamaTokenizer",
   "unk_token": "<unk>",
   "use_default_system_prompt": false
 }