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yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF
Text Generation • 12B • Updated • 298k • 2.81k -
yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF
Text Generation • 12B • Updated • 373k • 1.38k -
empero-ai/Qwythos-9B-Claude-Mythos-5-1M
Text Generation • 9B • Updated • 70.9k • • 899
🔄 In a Training Loop
Behrooz Azarkhalili
ermiaazarkhalili
AI & ML interests
LLMs, VLMs, PEFT, RL for LLMs and VLMs.
Recent Activity
updated a model about 2 hours ago
ermiaazarkhalili/LFM2.5-2.6B-SFT-Fable5-Glint-GGUF published a model about 2 hours ago
ermiaazarkhalili/LFM2.5-2.6B-SFT-Fable5-Glint-GGUF liked a model about 2 hours ago
openbmb/MiniCPM5-1BOrganizations
Multimodal Datasets
Qwen-Function-Calling-xLAM
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ermiaazarkhalili/Qwen2.5-0.5B-Instruct_Function_Calling_xLAM
Text Generation • 0.5B • Updated • 15 -
ermiaazarkhalili/Qwen2.5-1.5B-Instruct_Function_Calling_xLAM
Text Generation • 2B • Updated • 18 -
ermiaazarkhalili/Qwen2.5-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 19 -
ermiaazarkhalili/Qwen2.5-7B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 14
VLMs
Instruction Datasets
Curated SFT datasets for instruction-following and conversational fine-tuning
Reasoning Datasets
Llama-Function_Calling-xLAM
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ermiaazarkhalili/Llama-3.2-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 20 -
ermiaazarkhalili/Llama-3-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 13 -
ermiaazarkhalili/Llama-3.2-1B-Instruct_Function_Calling_xLAM
Text Generation • 1B • Updated • 19 • 1 -
ermiaazarkhalili/Llama-3.1-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 11
Claude Models
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yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF
Text Generation • 12B • Updated • 298k • 2.81k -
yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF
Text Generation • 12B • Updated • 373k • 1.38k -
empero-ai/Qwythos-9B-Claude-Mythos-5-1M
Text Generation • 9B • Updated • 70.9k • • 899
Instruction Datasets
Curated SFT datasets for instruction-following and conversational fine-tuning
Multimodal Datasets
Reasoning Datasets
Qwen-Function-Calling-xLAM
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ermiaazarkhalili/Qwen2.5-0.5B-Instruct_Function_Calling_xLAM
Text Generation • 0.5B • Updated • 15 -
ermiaazarkhalili/Qwen2.5-1.5B-Instruct_Function_Calling_xLAM
Text Generation • 2B • Updated • 18 -
ermiaazarkhalili/Qwen2.5-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 19 -
ermiaazarkhalili/Qwen2.5-7B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 14
Llama-Function_Calling-xLAM
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ermiaazarkhalili/Llama-3.2-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 20 -
ermiaazarkhalili/Llama-3-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 13 -
ermiaazarkhalili/Llama-3.2-1B-Instruct_Function_Calling_xLAM
Text Generation • 1B • Updated • 19 • 1 -
ermiaazarkhalili/Llama-3.1-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 11
VLMs