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yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF
Text Generation • 12B • Updated • 520k • 2.87k -
yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF
Text Generation • 12B • Updated • 616k • 1.53k -
empero-ai/Qwythos-9B-Claude-Mythos-5-1M
Text Generation • 9B • Updated • 22.7k • • 930
🔄 In a Training Loop
Behrooz Azarkhalili
ermiaazarkhalili
AI & ML interests
LLMs, VLMs, PEFT, RL for LLMs and VLMs.
Recent Activity
upvoted an article about 1 hour ago
Give Your Coding Agents a Memory You Own updated a model 5 days ago
ermiaazarkhalili/Qwen3.8-2B-SFT-Fable5-GGUF published a model 5 days ago
ermiaazarkhalili/Qwen3.8-2B-SFT-Fable5-GGUFOrganizations
Multimodal Datasets
Qwen-Function-Calling-xLAM
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ermiaazarkhalili/Qwen2.5-0.5B-Instruct_Function_Calling_xLAM
Text Generation • 0.5B • Updated • 14 -
ermiaazarkhalili/Qwen2.5-1.5B-Instruct_Function_Calling_xLAM
Text Generation • 2B • Updated • 12 -
ermiaazarkhalili/Qwen2.5-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 17 -
ermiaazarkhalili/Qwen2.5-7B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 13
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 • 13 -
ermiaazarkhalili/Llama-3-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 25 -
ermiaazarkhalili/Llama-3.2-1B-Instruct_Function_Calling_xLAM
Text Generation • 1B • Updated • 6 • 1 -
ermiaazarkhalili/Llama-3.1-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 9
Claude Models
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yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF
Text Generation • 12B • Updated • 520k • 2.87k -
yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF
Text Generation • 12B • Updated • 616k • 1.53k -
empero-ai/Qwythos-9B-Claude-Mythos-5-1M
Text Generation • 9B • Updated • 22.7k • • 930
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 • 14 -
ermiaazarkhalili/Qwen2.5-1.5B-Instruct_Function_Calling_xLAM
Text Generation • 2B • Updated • 12 -
ermiaazarkhalili/Qwen2.5-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 17 -
ermiaazarkhalili/Qwen2.5-7B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 13
Llama-Function_Calling-xLAM
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ermiaazarkhalili/Llama-3.2-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 13 -
ermiaazarkhalili/Llama-3-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 25 -
ermiaazarkhalili/Llama-3.2-1B-Instruct_Function_Calling_xLAM
Text Generation • 1B • Updated • 6 • 1 -
ermiaazarkhalili/Llama-3.1-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 9
VLMs