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add functionary-small-v3.2 to readme #235

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Aug 7, 2024
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add functionary-small-v3.2 to readme #235

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add functionary-small-v3.2 to readme
khai-meetkai Aug 7, 2024
cfb6bc5
fix readme
khai-meetkai Aug 7, 2024
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13 changes: 8 additions & 5 deletions README.md
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Expand Up @@ -15,7 +15,9 @@ Documentation and more examples: [functionary.meetkai.com](https://functionary.m

<summary>Changelog: (click to expand)</summary>

+ [2024/08/06] We release [meetkai/functionary-small-v3.1](https://huggingface.co/meetkai/functionary-small-v3.1) (based on [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)) with 128k context-length
+ [2024/08/07] We release 2 128k-context length models that are based on [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct):
+ [meetkai/functionary-small-v3.1](https://huggingface.co/meetkai/functionary-small-v3.1): **using Meta's original prompt template** as described in: [User-defined Custom tool calling](https://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1#user-defined-custom-tool-calling)
+ [meetkai/functionary-small-v3.2](https://huggingface.co/meetkai/functionary-small-v3.2): using **our own prompt template**. This model is **better** than [meetkai/functionary-small-v3.1](https://huggingface.co/meetkai/functionary-small-v3.1)
+ [2024/06/14] We release [meetkai/functionary-medium-v3.0](https://huggingface.co/meetkai/functionary-medium-v3.0) (based on [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)) with better capability for function calling
+ [2024/05/17] We release [meetkai/functionary-small-v2.5](https://huggingface.co/meetkai/functionary-small-v2.5) with better capability for function calling and code interpreter compared with [functionary-small-v2.4](https://huggingface.co/meetkai/functionary-small-v2.4)
+ [2024/05/06] Streaming support for functionary v2 to v2.4 models is released in [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)!
Expand All @@ -38,7 +40,7 @@ Now you can start a blazing fast [vLLM](https://vllm.readthedocs.io/en/latest/ge

**Small Model:**
```shell
python3 server_vllm.py --model "meetkai/functionary-small-v3.1" --host 0.0.0.0 --max-model-len 8192
python3 server_vllm.py --model "meetkai/functionary-small-v3.2" --host 0.0.0.0 --max-model-len 8192
```

<details>
Expand Down Expand Up @@ -116,7 +118,7 @@ from openai import OpenAI
client = OpenAI(base_url="http://localhost:8000/v1", api_key="functionary")

client.chat.completions.create(
model="meetkai/functionary-small-v3.1",
model="meetkai/functionary-small-v3.2",
messages=[{"role": "user",
"content": "What is the weather for Istanbul?"}
],
Expand Down Expand Up @@ -152,7 +154,7 @@ client.chat.completions.create(
import requests

data = {
'model': 'meetkai/functionary-small-v3.1', # model name here is the value of argument "--model" in deploying: server_vllm.py or server.py
'model': 'meetkai/functionary-small-v3.2', # model name here is the value of argument "--model" in deploying: server_vllm.py or server.py
'messages': [
{
"role": "user",
Expand Down Expand Up @@ -195,7 +197,8 @@ print(response.text)
## Models Available
| Model | Description | VRAM FP16 |
|:-------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------|:------|
| [functionary-small-v3.1](https://huggingface.co/meetkai/functionary-small-v3.1) / [GGUF](https://huggingface.co/meetkai/functionary-small-v3.1-GGUF) | 128k context, code interpreter | 24GB |
| [functionary-small-v3.2](https://huggingface.co/meetkai/functionary-small-v3.1) / [GGUF](https://huggingface.co/meetkai/functionary-small-v3.2-GGUF) | 128k context, code interpreter, using **our own prompt template** | 24GB |
| [functionary-small-v3.1](https://huggingface.co/meetkai/functionary-small-v3.1) / [GGUF](https://huggingface.co/meetkai/functionary-small-v3.1-GGUF) | 128k context, code interpreter, using **original Meta's prompt template** | 24GB |
| [functionary-medium-v3.0](https://huggingface.co/meetkai/functionary-medium-v3.0) / [GGUF](https://huggingface.co/meetkai/functionary-medium-v3.0-GGUF) | 8k context, based on [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | 160GB |
| [functionary-small-v2.5](https://huggingface.co/meetkai/functionary-small-v2.5) / [GGUF](https://huggingface.co/meetkai/functionary-small-v2.5-GGUF) | 8k context, code interpreter | 24GB |
| [functionary-small-v2.4](https://huggingface.co/meetkai/functionary-small-v2.4) / [GGUF](https://huggingface.co/meetkai/functionary-small-v2.4-GGUF) | 8k context, code interpreter | 24GB |
Expand Down
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