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README.md
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---
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license: llama2
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---
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A gguf version of the v1 model of
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---
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license: llama2
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tags:
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- functions
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- llama2
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- gguf
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A gguf version of the v1 model of llama 2 function calling model in:
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- fLlama-2-7b-chat.q3_K_M.gguf
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GGUF versions of v3 in:
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- Llama-2-7b-chat-hf-function-calling-v3-Q4_0.gguf
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- Llama-2-7b-chat-hf-function-calling-v3-Q_4_K_M.gguf
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- Llama-2-7b-chat-hf-function-calling-v3-Q2_K.gguf
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Set up like so:
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```Python
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[INST] You have access to the following functions. Use them if required:
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[
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{
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"type": "function",
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"function": {
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"name": "get_big_stocks",
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"description": "Get the names of the largest N stocks by market cap",
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"parameters": {
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"type": "object",
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"properties": {
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"number": {
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"type": "integer",
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"description": "The number of largest stocks to get the names of, e.g. 25"
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},
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"region": {
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"type": "string",
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"description": "The region to consider, can be \"US\" or \"World\"."
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}
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},
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"required": [
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"number"
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]
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}
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}
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},
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{
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"type": "function",
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"function": {
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"name": "get_stock_price",
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"description": "Get the stock price of an array of stocks",
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"parameters": {
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"type": "object",
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"properties": {
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"names": {
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"type": "array",
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"items": {
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"type": "string"
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},
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"description": "An array of stocks"
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}
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},
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"required": [
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"names"
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]
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}
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}
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}
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]
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[INST] Get the names of the five largest stocks in the US by market cap [/INST]
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{
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"name": "get_big_stocks",
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"arguments": {
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"number": 5,
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"region": "US"
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}
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}</s>
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```
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or this:
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```Python
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<s>[INST] <<SYS>>
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You are a helpful research assistant. The following functions are available for you to fetch further data to answer user questions, if relevant:
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{
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"function": "search_bing",
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"description": "Search the web for content on Bing. This allows users to search online/the internet/the web for content.",
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"arguments": [
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{
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"name": "query",
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"type": "string",
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"description": "The search query string"
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}
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]
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}
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{
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"function": "search_arxiv",
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"description": "Search for research papers on ArXiv. Make use of AND, OR and NOT operators as appropriate to join terms within the query.",
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"arguments": [
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{
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"name": "query",
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"type": "string",
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"description": "The search query string"
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}
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]
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}
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To call a function, respond - immediately and only - with a JSON object of the following format:
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{
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"function": "function_name",
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"arguments": {
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"argument1": "argument_value",
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"argument2": "argument_value"
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}
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}
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<</SYS>>[/INST]
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[INST] Find papers on high pressure batch reverse osmosis [/INST]
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```
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Good results through standard llama.cpp chat web interface - also can be used for openai proxy.
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Original Creds go here:
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(Trelis/Llama-2-7b-chat-hf-function-calling-v3)[https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v3]
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