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Added Meta llama-3 support! (#1856)

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* Added Meta llama-3 support!
Decided to change llama2.py to llama.py to hold all the llama family models.

* updated HuggingChat provider

* Update FlowGpt.py
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PD 2024-04-19 12:57:33 +05:30 committed by GitHub
parent 718ea7c187
commit 5fd118f3c9
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8 changed files with 54 additions and 32 deletions
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4
README.md
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@ -346,13 +346,15 @@ While we wait for gpt-5, here is a list of new models that are at least better t
### Models
| Model | Base Provider | Provider | Website |
| ----- | ------------- | -------- | ------- |
|-----------------------------| ------------- | -------- | ------- |
| gpt-3.5-turbo | OpenAI | 5+ Providers | [openai.com](https://openai.com/) |
| gpt-4 | OpenAI | 2+ Providers | [openai.com](https://openai.com/) |
| gpt-4-turbo | OpenAI | g4f.Provider.Bing | [openai.com](https://openai.com/) |
| Llama-2-7b-chat-hf | Meta | 2+ Providers | [llama.meta.com](https://llama.meta.com/) |
| Llama-2-13b-chat-hf | Meta | 2+ Providers | [llama.meta.com](https://llama.meta.com/) |
| Llama-2-70b-chat-hf | Meta | 3+ Providers | [llama.meta.com](https://llama.meta.com/) |
| Meta-Llama-3-8b | Meta | 3+ Providers | [llama.meta.com](https://llama.meta.com/) |
| Meta-Llama-3-70b | Meta | 3+ Providers | [llama.meta.com](https://llama.meta.com/) |
| CodeLlama-34b-Instruct-hf | Meta | 2+ Providers | [llama.meta.com](https://llama.meta.com/) |
| CodeLlama-70b-Instruct-hf | Meta | 2+ Providers | [llama.meta.com](https://llama.meta.com/) |
| Mixtral-8x7B-Instruct-v0.1 | Huggingface | 4+ Providers | [huggingface.co](https://huggingface.co/) |

3
g4f/Provider/HuggingChat.py
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@ -19,7 +19,8 @@ class HuggingChat(AsyncGeneratorProvider, ProviderModelMixin):
'mistralai/Mixtral-8x7B-Instruct-v0.1',
'google/gemma-1.1-7b-it',
'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO',
'mistralai/Mistral-7B-Instruct-v0.2'
'mistralai/Mistral-7B-Instruct-v0.2',
'meta-llama/Meta-Llama-3-70B-Instruct'
]
model_aliases = {
"openchat/openchat_3.5": "openchat/openchat-3.5-0106",

8
g4f/Provider/Llama2.py → g4f/Provider/Llama.py
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@ -7,17 +7,21 @@ from ..requests.raise_for_status import raise_for_status
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
class Llama2(AsyncGeneratorProvider, ProviderModelMixin):
class Llama(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://www.llama2.ai"
working = True
supports_message_history = True
default_model = "meta/llama-2-70b-chat"
default_model = "meta/llama-3-70b-chat"
models = [
"meta/llama-2-7b-chat",
"meta/llama-2-13b-chat",
"meta/llama-2-70b-chat",
"meta/llama-3-8b-chat",
"meta/llama-3-70b-chat",
]
model_aliases = {
"meta-llama/Meta-Llama-3-8b": "meta/llama-3-8b-chat",
"meta-llama/Meta-Llama-3-70b": "meta/llama-3-70b-chat",
"meta-llama/Llama-2-7b-chat-hf": "meta/llama-2-7b-chat",
"meta-llama/Llama-2-13b-chat-hf": "meta/llama-2-13b-chat",
"meta-llama/Llama-2-70b-chat-hf": "meta/llama-2-70b-chat",

2
g4f/Provider/__init__.py
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@ -40,7 +40,7 @@ from .HuggingChat import HuggingChat
from .HuggingFace import HuggingFace
from .Koala import Koala
from .Liaobots import Liaobots
from .Llama2 import Llama2
from .Llama import Llama
from .Local import Local
from .PerplexityLabs import PerplexityLabs
from .Pi import Pi

1
g4f/gui/client/index.html
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@ -220,6 +220,7 @@
<option value="gpt-4">gpt-4</option>
<option value="gpt-3.5-turbo">gpt-3.5-turbo</option>
<option value="llama2-70b">llama2-70b</option>
<option value="llama3-70b">llama2-70b</option>
<option value="gemini-pro">gemini-pro</option>
<option value="">----</option>
</select>

2
g4f/gui/client/static/js/chat.v1.js
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@ -926,7 +926,7 @@ colorThemes.forEach((themeOption) => {
function count_tokens(model, text) {
if (model) {
if (window.llamaTokenizer)
if (model.startsWith("llama2") || model.startsWith("codellama")) {
if (model.startsWith("llama") || model.startsWith("codellama")) {
return llamaTokenizer.encode(text).length;
}
if (window.mistralTokenizer)

22
g4f/models.py
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@ -16,7 +16,7 @@ from .Provider import (
GigaChat,
Liaobots,
FreeGpt,
Llama2,
Llama,
Vercel,
Gemini,
Koala,
@ -117,19 +117,31 @@ gigachat_pro = Model(
llama2_7b = Model(
name = "meta-llama/Llama-2-7b-chat-hf",
base_provider = 'meta',
best_provider = RetryProvider([Llama2, DeepInfra])
best_provider = RetryProvider([Llama, DeepInfra])
)
llama2_13b = Model(
name = "meta-llama/Llama-2-13b-chat-hf",
base_provider = 'meta',
best_provider = RetryProvider([Llama2, DeepInfra])
best_provider = RetryProvider([Llama, DeepInfra])
)
llama2_70b = Model(
name = "meta-llama/Llama-2-70b-chat-hf",
base_provider = "meta",
best_provider = RetryProvider([Llama2, DeepInfra, HuggingChat])
best_provider = RetryProvider([Llama, DeepInfra, HuggingChat])
)
llama3_8b = Model(
name = "meta-llama/Meta-Llama-3-8b",
base_provider = "meta",
best_provider = RetryProvider([Llama])
)
llama3_70b = Model(
name = "meta-llama/Meta-Llama-3-70b",
base_provider = "meta",
best_provider = RetryProvider([Llama, HuggingChat])
)
codellama_34b_instruct = Model(
@ -306,6 +318,8 @@ class ModelUtils:
'llama2-7b' : llama2_7b,
'llama2-13b': llama2_13b,
'llama2-70b': llama2_70b,
'llama3-8b' : llama3_8b,
'llama3-70b': llama3_70b,
'codellama-34b-instruct': codellama_34b_instruct,
'codellama-70b-instruct': codellama_70b_instruct,