# Function Calling

Typhoon2.1 Gemma3 4b
Thai large language model (instruction-tuned version) with 4 billion parameters, 128K context length, and function calling capability
Large Language Model Safetensors
T
scb10x
2,083
3
Typhoon2.1 Gemma3 12b
Typhoon2.1-Gemma3-12B is a 12-billion-parameter Thai large language model based on the Gemma3 architecture, supporting 128K context length and function calling capabilities.
Large Language Model
T
scb10x
159.13k
2
GLM Z1 32B 0414
MIT
GLM-4-Z1-32B-0414 is a 32-billion-parameter reasoning model with deep thinking capabilities, excelling in mathematical, coding, and logical tasks
Large Language Model Transformers Supports Multiple Languages
G
THUDM
3,822
146
Fluxi AI Small Vision
Apache-2.0
Fluxi AI is a multimodal intelligent assistant based on Qwen2-VL-7B-Instruct, capable of processing text, images, and videos, with special optimization for Portuguese language support.
Image-to-Text Transformers Other
F
JJhooww
25
2
Llama 3.1 Storm 8B GGUF
Llama-3.1-Storm-8B is an improved model based on Llama-3.1-8B-Instruct, demonstrating excellent performance in multiple benchmarks and is suitable for dialogue and function calling tasks.
Large Language Model Supports Multiple Languages
L
akjindal53244
654
41
Dolphin 2.9 Llama3 70b 5.0bpw H6 Exl2
Dolphin 2.9 is an uncensored AI assistant model based on Llama-3-70b, featuring multiple instructions, conversational skills, and programming capabilities, with preliminary support for agent functionality and function calling.
Large Language Model Transformers English
D
LoneStriker
22
3
Discolm German 7b V1
Apache-2.0
DiscoLM German 7b is a large language model based on Mistral, specializing in German applications, and serves as the successor to the EM German model family. This model has undergone SFT fine-tuning on extensive German and English instruction datasets and has been further optimized through DPO reinforcement learning.
Large Language Model Transformers Supports Multiple Languages
D
DiscoResearch
262
67
Llama 2 7b Chat Hf Function Calling
fLlama 2 extends the Llama 2 model with function calling capabilities, enabling structured JSON responses that include function names and parameters. This version is trained using the GPTQ method, offering fast inference and good accuracy.
Large Language Model Transformers English
L
Trelis
53
48
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