This is a collection of Benchmarking results between Gradio and FastMCP
Kshitij Thakkar PRO
kshitijthakkar
AI & ML interests
AI observability + MoE efficiency engineer. Building tools that make GenAI traceable, measurable, and production-ready.
Recent Activity
updated a dataset 5 days ago
kshitijthakkar/smoltrace-results-20260402_051106 published a dataset 5 days ago
kshitijthakkar/smoltrace-results-20260402_051106 new activity 6 days ago
kshitijthakkar/openenv-ops-tracker:New Env'sOrganizations
Systematic search for 1B-2B MoE models. Best: bs=1, ctx=2048 achieves 0.32 loss. Top-8 routing beats top-2.
My submission to Agents-MCP-Hackathon
Collection of Loggenix Models, Eval Dataset, Demo Playground. Soon will add the training dataset.
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Loggenix Moe 0.3B A0.1B Demo
🏢2Demo Space for my model loggenix-moe-0.3B-A0.1B
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kshitijthakkar/loggenix-synthetic-ai-tasks-eval-with-outputs
Viewer • Updated • 28 • 9 -
kshitijthakkar/loggenix-synthetic-ai-tasks-eval_v6-with-outputs
Viewer • Updated • 170 • 7 -
kshitijthakkar/loggenix-synthetic-ai-tasks-eval_v5-with-outputs-v7-sft-v1
Viewer • Updated • 170 • 9
Qwen3.5 MoE models from dual-source weight transfer (dense backbone + 35B-A3B experts). Hybrid DeltaNet + GQA attention.
32 MoE models from 41 experiments exploring expert count, routing, and learning rates for mobile deployment.
Collection of my submissions to MCP-1st-Birthday:- TraceMind Agent and MCP Server and smoltrace datasets generated for running evals using smoltrace.
This is a collection of Benchmarking results between Gradio and FastMCP
Qwen3.5 MoE models from dual-source weight transfer (dense backbone + 35B-A3B experts). Hybrid DeltaNet + GQA attention.
Systematic search for 1B-2B MoE models. Best: bs=1, ctx=2048 achieves 0.32 loss. Top-8 routing beats top-2.
32 MoE models from 41 experiments exploring expert count, routing, and learning rates for mobile deployment.
My submission to Agents-MCP-Hackathon
Collection of my submissions to MCP-1st-Birthday:- TraceMind Agent and MCP Server and smoltrace datasets generated for running evals using smoltrace.
Collection of Loggenix Models, Eval Dataset, Demo Playground. Soon will add the training dataset.
-
Loggenix Moe 0.3B A0.1B Demo
🏢2Demo Space for my model loggenix-moe-0.3B-A0.1B
-
kshitijthakkar/loggenix-synthetic-ai-tasks-eval-with-outputs
Viewer • Updated • 28 • 9 -
kshitijthakkar/loggenix-synthetic-ai-tasks-eval_v6-with-outputs
Viewer • Updated • 170 • 7 -
kshitijthakkar/loggenix-synthetic-ai-tasks-eval_v5-with-outputs-v7-sft-v1
Viewer • Updated • 170 • 9