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yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF
Text Generation • 12B • Updated • 510k • 2.85k -
yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF
Text Generation • 12B • Updated • 457k • 1.49k -
empero-ai/Qwythos-9B-Claude-Mythos-5-1M
Text Generation • 9B • Updated • 19.6k • • 917
🔄 In a Training Loop
Behrooz Azarkhalili
ermiaazarkhalili
AI & ML interests
LLMs, VLMs, PEFT, RL for LLMs and VLMs.
Recent Activity
updated a model 4 days ago
ermiaazarkhalili/FastContext-4B-RL_base-SFT-Claude-Opus-Reasoning-Unsloth-GGUF updated a model 4 days ago
ermiaazarkhalili/FastContext-4B-SFT_base-SFT-Claude-Opus-Reasoning-Unsloth-GGUF updated a model 4 days ago
ermiaazarkhalili/FastContext-4B-SFT_base-Function-Calling-xLAM-Unsloth-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 • 16 -
ermiaazarkhalili/Qwen2.5-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 24 -
ermiaazarkhalili/Qwen2.5-7B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 17
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 • 16 -
ermiaazarkhalili/Llama-3-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 27 -
ermiaazarkhalili/Llama-3.2-1B-Instruct_Function_Calling_xLAM
Text Generation • 1B • Updated • 13 • 1 -
ermiaazarkhalili/Llama-3.1-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 13
Claude Models
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yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF
Text Generation • 12B • Updated • 510k • 2.85k -
yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF
Text Generation • 12B • Updated • 457k • 1.49k -
empero-ai/Qwythos-9B-Claude-Mythos-5-1M
Text Generation • 9B • Updated • 19.6k • • 917
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 • 16 -
ermiaazarkhalili/Qwen2.5-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 24 -
ermiaazarkhalili/Qwen2.5-7B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 17
Llama-Function_Calling-xLAM
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ermiaazarkhalili/Llama-3.2-3B-Instruct_Function_Calling_xLAM
Text Generation • 3B • Updated • 16 -
ermiaazarkhalili/Llama-3-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 27 -
ermiaazarkhalili/Llama-3.2-1B-Instruct_Function_Calling_xLAM
Text Generation • 1B • Updated • 13 • 1 -
ermiaazarkhalili/Llama-3.1-8B-Instruct_Function_Calling_xLAM
Text Generation • 8B • Updated • 13
VLMs