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--- |
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license: apache-2.0 |
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tags: |
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- function call |
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--- |
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XAgentLLaMa is a collection of fine-tuned generative text models ranging in scale from 7 billion to 34 billion based on Llama 2 and Code Llama. |
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This is the repository for the 34B fine-tuned model, optimized for XAgent with strong function call ability. |
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## Warning: This is a preview version of the model, does not stand for final quality. |
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We collect around 300K pieces of data and fine-tune Code-Llama 34B with 48 A100 GPUs. More details will be released later. |
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This model is trained with a special function call format, and should be used with [XAgentGen](https://github.com/OpenBMB/XAgent/tree/dev/XAgentGen) to get best performance. |
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### XAgentGen input format: |
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```json |
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"messages":[ |
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{ |
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"role":"system", |
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"content":"...." |
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}, |
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{...} |
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], |
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"global_arguments":{ // Optional |
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"type": "object", |
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"properties":{ |
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"k1":{ |
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"type":"integer", |
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"description":"..." |
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}, |
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"k2":{ |
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"type":"string", |
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"description":"..." |
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}, |
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... |
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}, |
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"required":["k1","k2"] |
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}, |
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"functions":[// Optional |
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{ |
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"name":"func1", |
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"description":"...", |
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"parameters":{ |
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"type":"object", |
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"properties":{...}, |
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"required":[...] |
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} |
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}, |
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.... |
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], |
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"function_call": {// Optional |
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"name":"func1" |
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} |
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``` |
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### XAgentGen call output format: |
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```json |
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{ |
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"global_arguments": { |
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"k1":"v1", |
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"k2":"v2", |
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"k3":"v3", |
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... |
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}, |
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"function_call":{ |
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"name":"func1", |
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"arguments":{...} |
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} |
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} |
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``` |
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If the json format of `global_arguments` is provided, the output will contains the `global_arguments` at any time. |
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