kshitijthakkar/repro-dynaschedbench-observability-artifacts
247 kB
Kshitij Thakkar PRO
kshitijthakkar
AI & ML interests
Building the evaluation and observability layer for AI.
Creator of TraceVerse—turning real-world LLM interactions into datasets, benchmarks, and cost-efficient model insights.
Recent Activity
liked a Space about 6 hours ago
evijit/PaperVerse published a dataset about 14 hours ago
kshitijthakkar/GLM-5.1-Reasoning-1M-Cleaned published a model about 14 hours ago
kshitijthakkar/qwen3-4b-sft-v2-titanium-mixOrganizations
buckets 26
kshitijthakkar/repro-cbu-judge-reliability-artifacts
632 kB
kshitijthakkar/repro-online-inverse-linear-opt-artifacts
69.3 kB
kshitijthakkar/repro-rlvr-backtracking-separation-artifacts
0 Bytes
kshitijthakkar/repro-rowstochastic-mixing-artifacts
27.6 kB
kshitijthakkar/repro-disentanglement-identifiability-artifacts
26.4 kB
Articles 6
Article
The Mind of Tashi: making a 200M-active model's reasoning *the game*
Article
2
Scaling Mixture of Experts: Architecture Search for Billion-Parameter Language Models
Trackio logbooks: claim-by-claim reproductions of ICML 2026 papers for the Agent Reproducibility Challenge.
-
Repro - MemEvolve: Meta-Evolution of Agent Memory Systems
🧬Collaborate with an AI agent to manage a shared experiment logbook
-
Repro - TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
🎯Explore and sync research logbook with your coding agent
-
Repro - How to Correctly Report LLM-as-a-Judge Evaluations
🎯Log and share LLM evaluation findings in a collaborative notebook
-
Repro - Dependence-Aware Label Aggregation via Ising Models
🧲Collaborate with an AI agent via a shared logbook
Qwen3.6-35B-A3B carved by expert importance to fit one consumer GPU. No training, no calibration. 800 tok/s on a laptop 5090.
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kshitijthakkar/Kirigami-Qwen3.6-20B-A3B-NVFP4
Text Generation • 14B • Updated • 37 • 1 -
kshitijthakkar/Kirigami-Qwen3.6-24B-A3B-NVFP4
Text Generation • 16B • Updated • 19 -
kshitijthakkar/Kirigami-Qwen3.6-28B-A3B-NVFP4
Text Generation • 19B • Updated • 16 -
Kirigami Journey
🪷How we carved a 35B MoE to fit a 24GB GPU — zero training
Trackio logbooks: claim-by-claim reproductions of ICML 2026 papers for the Agent Reproducibility Challenge.
-
Repro - MemEvolve: Meta-Evolution of Agent Memory Systems
🧬Collaborate with an AI agent to manage a shared experiment logbook
-
Repro - TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
🎯Explore and sync research logbook with your coding agent
-
Repro - How to Correctly Report LLM-as-a-Judge Evaluations
🎯Log and share LLM evaluation findings in a collaborative notebook
-
Repro - Dependence-Aware Label Aggregation via Ising Models
🧲Collaborate with an AI agent via a shared logbook
Qwen3.6-35B-A3B carved by expert importance to fit one consumer GPU. No training, no calibration. 800 tok/s on a laptop 5090.
-
kshitijthakkar/Kirigami-Qwen3.6-20B-A3B-NVFP4
Text Generation • 14B • Updated • 37 • 1 -
kshitijthakkar/Kirigami-Qwen3.6-24B-A3B-NVFP4
Text Generation • 16B • Updated • 19 -
kshitijthakkar/Kirigami-Qwen3.6-28B-A3B-NVFP4
Text Generation • 19B • Updated • 16 -
Kirigami Journey
🪷How we carved a 35B MoE to fit a 24GB GPU — zero training
spaces 41
pinned
Sleeping
Agents
GuardianTails
🐾
Pet Health Intelligence Platform
Running
DynaSchedBench reproduction
🎯
View and sync experiment logs with an AI agent
Running
Repro - Judging What We Cannot Solve: Consequence-Based Utility for Oracle-Free Evaluation
🎯
Explore logs and collaborate with an AI coding agent
Running
Repro - Provable Benefits of RLVR over SFT: Learning to Backtrack Efficiently
🔃
Collaborate on a logbook with an AI coding agent
Running
1
ICML Provincia
🏛
Replay the ICML 2026 Agent‑Repro challenge logs
Running
Repro - TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
🎯
Explore and sync research logbook with your coding agent
models 148
kshitijthakkar/Kirigami-Qwen3.6-28B-A3B-NVFP4
Text Generation • 19B • Updated • 16
kshitijthakkar/Kirigami-Qwen3.6-20B-A3B-NVFP4
Text Generation • 14B • Updated • 37 • 1
kshitijthakkar/Kirigami-Qwen3.6-24B-A3B-NVFP4
Text Generation • 16B • Updated • 19
kshitijthakkar/deepseek-v4-mini-300M-sft-v2
Text Generation • 0.3B • Updated • 290
kshitijthakkar/deepseek-v4-mini-300M-sft-v1
Text Generation • 0.3B • Updated • 282
kshitijthakkar/deepseek-v4-mini-300M-cpt-fineweb
Text Generation • 0.3B • Updated • 284
kshitijthakkar/deepseek-v4-mini-300M-recovered
Text Generation • 0.3B • Updated • 31 • 1
kshitijthakkar/deepseek-v4-mini-300M-recovered-h100
Text Generation • 0.3B • Updated • 4
kshitijthakkar/deepseek-v4-mini-300M-recovered-wip
Text Generation • 0.3B • Updated • 6
kshitijthakkar/deepseek-v4-mini-300M-from-flash-sft-test-lora
Updated • 1
datasets 421
kshitijthakkar/Open-SWE-Traces
Viewer • Updated • 207k
kshitijthakkar/EEE_datastore
Viewer • Updated • 4.89k • 29
kshitijthakkar/Nemotron-Personas-India
Viewer • Updated • 3M • 190
kshitijthakkar/GLM-5.1-Reasoning-1M-Cleaned
Preview • Updated • 74
kshitijthakkar/smoltrace-leaderboard
Viewer • Updated • 108 • 77
kshitijthakkar/smoltrace-metrics-20260424_122614
Viewer • Updated • 1 • 10
kshitijthakkar/smoltrace-traces-20260424_122614
Viewer • Updated • 2 • 8
kshitijthakkar/smoltrace-results-20260424_122614
Viewer • Updated • 2 • 13
kshitijthakkar/smoltrace-metrics-20260424_112312
Viewer • Updated • 1 • 17
kshitijthakkar/smoltrace-traces-20260424_112312
Viewer • Updated • 2 • 18