Local AI Registry
Collection
Hardware, models, launch recipes, prices, raw speed sweeps, and comparable local AI benchmarks. • 1 item • Updated
accepted_at timestamp[s]date 2026-08-19 00:00:00 2026-08-27 00:00:00 ⌀ | engine dict | hardware dict | id stringlengths 36 103 | links dict | measured_at stringlengths 10 24 ⌀ | metrics dict | model dict | model_instance dict | recipe_id stringlengths 30 124 | sweep_id stringlengths 36 103 |
|---|---|---|---|---|---|---|---|---|---|---|
null | {
"name": "vllm",
"version": "0.26.0"
} | {
"count": 1,
"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
"total_memory_gb": 96,
"vendor": "nvidia"
} | deepseek-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/deepseek",
"recipe": "/api/v1/recipes/deepseek-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep"
} | 2026-08-11 | {
"best_ttft_ms": null,
"max_concurrency": 1,
"max_context_tokens": 32768,
"peak_decode_tok_s": 237.26,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "deepseek",
"id": "deepseek",
"name": "DeepSeek"
} | {
"format": "safetensors",
"id": "redhatai-deepseek-coder-v2-lite-instruct-fp8--fp8",
"precision": "FP8",
"repository": "RedHatAI/DeepSeek-Coder-V2-Lite-Instruct-FP8"
} | deepseek-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp1 | deepseek-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep |
2026-08-23T00:00:00 | {
"name": "sparkinfer",
"version": "NVIDIA vLLM 26.02 base"
} | {
"count": 1,
"id": "dgx-spark-gb10-128gb",
"memory_gb": 128,
"name": "NVIDIA DGX Spark GB10",
"total_memory_gb": 128,
"vendor": "nvidia"
} | deepseek-v4-flash-0731-exl3-3bpw-dgxspark-sparkinfer-tp1-sweep | {
"hardware": "/api/v1/hardware/dgx-spark-gb10-128gb",
"model": "/api/v1/models/deepseek-v4-flash-0731",
"recipe": "/api/v1/recipes/deepseek-v4-flash-0731-exl3-3bpw-dgxspark-sparkinfer-tp1",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-0731-exl3-3bpw-dgxspark-sparkinfer-tp1-sweep"
} | 2026-08-21 | {
"best_ttft_ms": null,
"max_concurrency": 1,
"max_context_tokens": 370104,
"peak_decode_tok_s": 47,
"peak_decode_tok_s_per_stream": 47,
"peak_prefill_tok_s": 630,
"peak_vram_gb": null,
"point_count": 2
} | {
"family": "deepseek",
"id": "deepseek-v4-flash-0731",
"name": "DeepSeek-V4-Flash-0731"
} | {
"format": "EXL3",
"id": "0xsero-deepseek-v4-flash-0731-spark--3-0-bpw-reap-k216",
"precision": "3.0 bpw REAP-K216",
"repository": "0xSero/deepseek-v4-flash-0731-spark"
} | deepseek-v4-flash-0731-exl3-3bpw-dgxspark-sparkinfer-tp1 | deepseek-v4-flash-0731-exl3-3bpw-dgxspark-sparkinfer-tp1-sweep |
null | {
"name": "vllm",
"version": "0.11.2.dev278+gccfeb3a8 (LimeChain sm86 fork)"
} | {
"count": 8,
"id": "rtx-3090-24gb",
"memory_gb": 24,
"name": "GeForce RTX 3090",
"total_memory_gb": 192,
"vendor": "nvidia"
} | deepseek-v4-flash-0731-fp8-e4m3-rtx-3090-24gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-3090-24gb",
"model": "/api/v1/models/deepseek-v4-flash-0731",
"recipe": "/api/v1/recipes/deepseek-v4-flash-0731-fp8-e4m3-rtx-3090-24gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-0731-fp8-e4m3-rtx-3090-24gb-vllm-tp1-sweep"
} | 2026-08-22 | {
"best_ttft_ms": 267.1,
"max_concurrency": 1,
"max_context_tokens": 327680,
"peak_decode_tok_s": 91.16,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": 1344.17,
"peak_vram_gb": 184.35,
"point_count": 1
} | {
"family": "deepseek",
"id": "deepseek-v4-flash-0731",
"name": "DeepSeek-V4-Flash-0731"
} | {
"format": "safetensors",
"id": "deepseek-ai-deepseek-v4-flash-0731--fp8-e4m3",
"precision": "FP8_E4M3",
"repository": "deepseek-ai/DeepSeek-V4-Flash-0731"
} | deepseek-v4-flash-0731-fp8-e4m3-rtx-3090-24gb-vllm-tp1 | deepseek-v4-flash-0731-fp8-e4m3-rtx-3090-24gb-vllm-tp1-sweep |
null | {
"name": "sglang",
"version": "lmsysorg/sglang:dev-cu13-inkling-dspark@sha256:fbea1a4e25b26660dbc2384a27ead8817e9b7670f257b5c3143e0450d14524d7 (stock; SGLang commit b7252cc6b0c78b25ecea7ee5efa91a6ae37d0f19); no patches"
} | {
"count": 2,
"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
"total_memory_gb": 192,
"vendor": "nvidia"
} | deepseek-v4-flash-0731-fp8-fp4-rtxpro6000-sglang-tp2-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/deepseek-v4-flash-0731",
"recipe": "/api/v1/recipes/deepseek-v4-flash-0731-fp8-fp4-rtxpro6000-sglang-tp2",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-0731-fp8-fp4-rtxpro6000-sglang-tp2-sweep"
} | 2026-08-26 | {
"best_ttft_ms": 80,
"max_concurrency": 4,
"max_context_tokens": 50,
"peak_decode_tok_s": 155.2,
"peak_decode_tok_s_per_stream": 57.85,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 5
} | {
"family": "deepseek",
"id": "deepseek-v4-flash-0731",
"name": "DeepSeek-V4-Flash-0731"
} | {
"format": "safetensors",
"id": "deepseek-ai-deepseek-v4-flash-0731--fp8",
"precision": "FP8",
"repository": "deepseek-ai/DeepSeek-V4-Flash-0731"
} | deepseek-v4-flash-0731-fp8-fp4-rtxpro6000-sglang-tp2 | deepseek-v4-flash-0731-fp8-fp4-rtxpro6000-sglang-tp2-sweep |
null | {
"name": "vllm",
"version": "LimeChain/vllm@ccfeb3a8b (release 4fd0bd1bf)"
} | {
"count": 8,
"id": "rtx-3090-24gb",
"memory_gb": 24,
"name": "GeForce RTX 3090",
"total_memory_gb": 192,
"vendor": "nvidia"
} | deepseek-v4-flash-0731-fp8-rtx-3090-24gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-3090-24gb",
"model": "/api/v1/models/deepseek-v4-flash-0731",
"recipe": "/api/v1/recipes/deepseek-v4-flash-0731-fp8-rtx-3090-24gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-0731-fp8-rtx-3090-24gb-vllm-tp1-sweep"
} | 2026-08-09 | {
"best_ttft_ms": 362.046,
"max_concurrency": 11,
"max_context_tokens": 327680,
"peak_decode_tok_s": 404.473815,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "deepseek",
"id": "deepseek-v4-flash-0731",
"name": "DeepSeek-V4-Flash-0731"
} | {
"format": "safetensors",
"id": "deepseek-ai-deepseek-v4-flash-0731--fp8",
"precision": "FP8",
"repository": "deepseek-ai/DeepSeek-V4-Flash-0731"
} | deepseek-v4-flash-0731-fp8-rtx-3090-24gb-vllm-tp1 | deepseek-v4-flash-0731-fp8-rtx-3090-24gb-vllm-tp1-sweep |
null | {
"name": "lucebox",
"version": "c994209"
} | {
"count": 1,
"id": "radeon-ai-pro-r9700-32gb",
"memory_gb": 32,
"name": "Radeon AI PRO R9700",
"total_memory_gb": 32,
"vendor": "amd"
} | deepseek-v4-flash-0731-iq2-xxs-radeon-ai-pro-r9700-32gb-lucebox-tp1-7ibvc9zx-sweep | {
"hardware": "/api/v1/hardware/radeon-ai-pro-r9700-32gb",
"model": "/api/v1/models/deepseek-v4-flash-0731",
"recipe": "/api/v1/recipes/deepseek-v4-flash-0731-iq2-xxs-radeon-ai-pro-r9700-32gb-lucebox-tp1-7ibvc9zx",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-0731-iq2-xxs-radeon-ai-pro-r9700-32gb-luce... | 2026-08-26T11:54:44.953Z | {
"best_ttft_ms": 2003.904,
"max_concurrency": 1,
"max_context_tokens": 8192,
"peak_decode_tok_s": 59.432,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": 196.117,
"peak_vram_gb": 25.161,
"point_count": 1
} | {
"family": "deepseek",
"id": "deepseek-v4-flash-0731",
"name": "DeepSeek-V4-Flash-0731"
} | {
"format": "IQ2_XXS",
"id": "deepseek-ai-deepseek-v4-flash-0731--iq2-xxs",
"precision": "IQ2_XXS",
"repository": "deepseek-ai/DeepSeek-V4-Flash-0731"
} | deepseek-v4-flash-0731-iq2-xxs-radeon-ai-pro-r9700-32gb-lucebox-tp1-7ibvc9zx | deepseek-v4-flash-0731-iq2-xxs-radeon-ai-pro-r9700-32gb-lucebox-tp1-7ibvc9zx-sweep |
2026-08-23T00:00:00 | {
"name": "vllm",
"version": "0.25.2+anemll-dspark-gx10-0.1.1"
} | {
"count": 2,
"id": "dgx-spark-gb10-128gb",
"memory_gb": 128,
"name": "NVIDIA DGX Spark GB10",
"total_memory_gb": 256,
"vendor": "nvidia"
} | deepseek-v4-flash-0731-nvfp4-dgxspark-vllm-tp2-sweep | {
"hardware": "/api/v1/hardware/dgx-spark-gb10-128gb",
"model": "/api/v1/models/deepseek-v4-flash-0731",
"recipe": "/api/v1/recipes/deepseek-v4-flash-0731-nvfp4-dgxspark-vllm-tp2",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-0731-nvfp4-dgxspark-vllm-tp2-sweep"
} | 2026-08-01 | {
"best_ttft_ms": null,
"max_concurrency": 6,
"max_context_tokens": 899994,
"peak_decode_tok_s": 191.2,
"peak_decode_tok_s_per_stream": 75.4,
"peak_prefill_tok_s": 2563,
"peak_vram_gb": null,
"point_count": 19
} | {
"family": "deepseek",
"id": "deepseek-v4-flash-0731",
"name": "DeepSeek-V4-Flash-0731"
} | {
"format": "ModelOpt",
"id": "deepseek-ai-deepseek-v4-flash-0731--nvfp4",
"precision": "NVFP4",
"repository": "deepseek-ai/DeepSeek-V4-Flash-0731"
} | deepseek-v4-flash-0731-nvfp4-dgxspark-vllm-tp2 | deepseek-v4-flash-0731-nvfp4-dgxspark-vllm-tp2-sweep |
null | {
"name": "vllm",
"version": null
} | {
"count": 4,
"id": "rtx-5090-32gb",
"memory_gb": 32,
"name": "GeForce RTX 5090",
"total_memory_gb": 128,
"vendor": "nvidia"
} | deepseek-v4-flash-2-bit-experts-vllm-moet-w2-fp8-kv-rtx-5090-32gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-5090-32gb",
"model": "/api/v1/models/deepseek-v4-flash",
"recipe": "/api/v1/recipes/deepseek-v4-flash-2-bit-experts-vllm-moet-w2-fp8-kv-rtx-5090-32gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-2-bit-experts-vllm-moet-w2-fp8-kv-rtx-5090-32gb-vllm-tp1-swe... | 2026-07-18 | {
"best_ttft_ms": 55,
"max_concurrency": 1,
"max_context_tokens": 262144,
"peak_decode_tok_s": 212,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": 3900,
"peak_vram_gb": 124,
"point_count": 1
} | {
"family": "deepseek",
"id": "deepseek-v4-flash",
"name": "DeepSeek-V4-Flash"
} | {
"format": "safetensors",
"id": "deepseek-ai-deepseek-v4-flash--2-bit-experts-vllm-moet-w2-fp8-kv",
"precision": "2-bit experts (vLLM-Moet W2) + FP8 KV",
"repository": "deepseek-ai/DeepSeek-V4-Flash"
} | deepseek-v4-flash-2-bit-experts-vllm-moet-w2-fp8-kv-rtx-5090-32gb-vllm-tp1 | deepseek-v4-flash-2-bit-experts-vllm-moet-w2-fp8-kv-rtx-5090-32gb-vllm-tp1-sweep |
null | {
"name": "mlx",
"version": null
} | {
"count": 1,
"id": "apple-max-128gb",
"memory_gb": 128,
"name": "Apple Max 128GB, generation unspecified",
"total_memory_gb": 128,
"vendor": "apple"
} | deepseek-v4-flash-2bit-dq-apple-max-128gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-max-128gb",
"model": "/api/v1/models/deepseek-v4-flash",
"recipe": "/api/v1/recipes/deepseek-v4-flash-2bit-dq-apple-max-128gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-2bit-dq-apple-max-128gb-mlx-tp1-sweep"
} | 2026-04-27 | {
"best_ttft_ms": null,
"max_concurrency": 1,
"max_context_tokens": 2048,
"peak_decode_tok_s": 17,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "deepseek",
"id": "deepseek-v4-flash",
"name": "DeepSeek-V4-Flash"
} | {
"format": "MLX",
"id": "mlx-community-deepseek-v4-flash-2bit-dq--2bit-dq",
"precision": "2bit-DQ",
"repository": "mlx-community/DeepSeek-V4-Flash-2bit-DQ"
} | deepseek-v4-flash-2bit-dq-apple-max-128gb-mlx-tp1 | deepseek-v4-flash-2bit-dq-apple-max-128gb-mlx-tp1-sweep |
2026-08-23T00:00:00 | {
"name": "vllm",
"version": "0.25.2+anemll-dspark-gx10-0.1.1"
} | {
"count": 2,
"id": "dgx-spark-gb10-128gb",
"memory_gb": 128,
"name": "NVIDIA DGX Spark GB10",
"total_memory_gb": 256,
"vendor": "nvidia"
} | deepseek-v4-flash-dspark-nvfp4-dgxspark-vllm-tp2-sweep | {
"hardware": "/api/v1/hardware/dgx-spark-gb10-128gb",
"model": "/api/v1/models/deepseek-v4-flash-dspark",
"recipe": "/api/v1/recipes/deepseek-v4-flash-dspark-nvfp4-dgxspark-vllm-tp2",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-dspark-nvfp4-dgxspark-vllm-tp2-sweep"
} | 2026-08-23 | {
"best_ttft_ms": null,
"max_concurrency": 6,
"max_context_tokens": null,
"peak_decode_tok_s": 153.7,
"peak_decode_tok_s_per_stream": 66.6,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 6
} | {
"family": "deepseek",
"id": "deepseek-v4-flash-dspark",
"name": "DeepSeek-V4-Flash-DSpark"
} | {
"format": "ModelOpt",
"id": "deepseek-ai-deepseek-v4-flash-dspark--nvfp4",
"precision": "NVFP4",
"repository": "deepseek-ai/DeepSeek-V4-Flash-DSpark"
} | deepseek-v4-flash-dspark-nvfp4-dgxspark-vllm-tp2 | deepseek-v4-flash-dspark-nvfp4-dgxspark-vllm-tp2-sweep |
null | {
"name": "vllm",
"version": "0.1.dev1172+g4a6fd8747.xpu; local vLLM 264c7f2f7; XPU kernels 313156737; oneCCL 48fda4f0e"
} | {
"count": 4,
"id": "intel-arc-pro-b70-32gb",
"memory_gb": 32,
"name": "Intel Arc Pro B70",
"total_memory_gb": 128,
"vendor": "intel"
} | deepseek-v4-flash-fp8-intel-arc-pro-b70-32gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/intel-arc-pro-b70-32gb",
"model": "/api/v1/models/deepseek-v4-flash",
"recipe": "/api/v1/recipes/deepseek-v4-flash-fp8-intel-arc-pro-b70-32gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-fp8-intel-arc-pro-b70-32gb-vllm-tp1-sweep"
} | 2026-07-18 | {
"best_ttft_ms": 342.7776570024434,
"max_concurrency": 1,
"max_context_tokens": 256,
"peak_decode_tok_s": 80.82005189243556,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "deepseek",
"id": "deepseek-v4-flash",
"name": "DeepSeek-V4-Flash"
} | {
"format": "safetensors",
"id": "0xsero-deepseek-v4-flash-180b--fp8",
"precision": "FP8",
"repository": "0xSero/DeepSeek-V4-Flash-180B"
} | deepseek-v4-flash-fp8-intel-arc-pro-b70-32gb-vllm-tp1 | deepseek-v4-flash-fp8-intel-arc-pro-b70-32gb-vllm-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
"version": "deepseek-v4-blackwell image; exact SGLang commit unreported"
} | {
"count": 4,
"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
"total_memory_gb": 384,
"vendor": "nvidia"
} | deepseek-v4-flash-fp8-rtxpro6000-sglang-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/deepseek-v4-flash",
"recipe": "/api/v1/recipes/deepseek-v4-flash-fp8-rtxpro6000-sglang-tp4",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-fp8-rtxpro6000-sglang-tp4-sweep"
} | 2026-08-24 | {
"best_ttft_ms": 11337,
"max_concurrency": 1,
"max_context_tokens": 300000,
"peak_decode_tok_s": 37.99,
"peak_decode_tok_s_per_stream": 37.99,
"peak_prefill_tok_s": 1273.1,
"peak_vram_gb": null,
"point_count": 7
} | {
"family": "deepseek",
"id": "deepseek-v4-flash",
"name": "DeepSeek-V4-Flash"
} | {
"format": "safetensors",
"id": "sgl-project-deepseek-v4-flash-fp8--fp8",
"precision": "FP8",
"repository": "sgl-project/DeepSeek-V4-Flash-FP8"
} | deepseek-v4-flash-fp8-rtxpro6000-sglang-tp4 | deepseek-v4-flash-fp8-rtxpro6000-sglang-tp4-sweep |
null | {
"name": "mlx",
"version": null
} | {
"count": 1,
"id": "apple-m3-ultra-512gb",
"memory_gb": 512,
"name": "Apple M3 Ultra 512GB",
"total_memory_gb": 512,
"vendor": "apple"
} | deepseek-v4-flash-iq2xxs-apple-m3-ultra-512gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-m3-ultra-512gb",
"model": "/api/v1/models/deepseek-v4-flash",
"recipe": "/api/v1/recipes/deepseek-v4-flash-iq2xxs-apple-m3-ultra-512gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/deepseek-v4-flash-iq2xxs-apple-m3-ultra-512gb-mlx-tp1-sweep"
} | 2026-06-30 | {
"best_ttft_ms": 300,
"max_concurrency": 1,
"max_context_tokens": 16384,
"peak_decode_tok_s": 33,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "deepseek",
"id": "deepseek-v4-flash",
"name": "DeepSeek-V4-Flash"
} | {
"format": "MLX",
"id": "deepseek-ai-deepseek-v4-flash--iq2xxs",
"precision": "IQ2XXS",
"repository": "deepseek-ai/DeepSeek-V4-Flash"
} | deepseek-v4-flash-iq2xxs-apple-m3-ultra-512gb-mlx-tp1 | deepseek-v4-flash-iq2xxs-apple-m3-ultra-512gb-mlx-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "vllm",
"version": "0.1.dev17016+g27fd665bd.d20260526"
} | {
"count": 1,
"id": "dgx-spark-gb10-128gb",
"memory_gb": 128,
"name": "NVIDIA DGX Spark GB10",
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} | deepseek-v4-flash-spark-200k-nvfp4-mxfp4-dgxspark-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/dgx-spark-gb10-128gb",
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} | 2026-05-27 | {
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} | {
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} | {
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} | deepseek-v4-flash-spark-200k-nvfp4-mxfp4-dgxspark-vllm-tp1 | deepseek-v4-flash-spark-200k-nvfp4-mxfp4-dgxspark-vllm-tp1-sweep |
null | {
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} | {
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} | diffusiongemma-26b-a4b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
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"recipe": "/api/v1/recipes/diffusiongemma-26b-a4b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/diffusiongemma-26b-a4b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1-swee... | 2026-07-02 | {
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"precision": "bf16",
"repository": "google/diffusiongemma-26B-A4B-it"
} | diffusiongemma-26b-a4b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1 | diffusiongemma-26b-a4b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep |
null | {
"name": "vllm",
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} | {
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} | diffusiongemma-26b-a4b-it-fp8-dynamic-rtx-3090-24gb-vllm-tp2-sweep | {
"hardware": "/api/v1/hardware/rtx-3090-24gb",
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"recipe": "/api/v1/recipes/diffusiongemma-26b-a4b-it-fp8-dynamic-rtx-3090-24gb-vllm-tp2",
"speed_sweep": "/api/v1/speed-sweeps/diffusiongemma-26b-a4b-it-fp8-dynamic-rtx-3090-24gb-vllm-tp2-sweep"
} | 2026-06-24 | {
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} | {
"family": "gemma",
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} | {
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"precision": "FP8 dynamic",
"repository": "RedHatAI/diffusiongemma-26B-A4B-it-FP8-dynamic"
} | diffusiongemma-26b-a4b-it-fp8-dynamic-rtx-3090-24gb-vllm-tp2 | diffusiongemma-26b-a4b-it-fp8-dynamic-rtx-3090-24gb-vllm-tp2-sweep |
null | {
"name": "mlx",
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} | {
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"name": "Apple M5 Max 128GB",
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"vendor": "apple"
} | gemma-3-4b-it-bf16-4bit-apple-m5-max-128gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-m5-max-128gb",
"model": "/api/v1/models/gemma-3-4b-it-bf16",
"recipe": "/api/v1/recipes/gemma-3-4b-it-bf16-4bit-apple-m5-max-128gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/gemma-3-4b-it-bf16-4bit-apple-m5-max-128gb-mlx-tp1-sweep"
} | 2026-06-22 | {
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} | {
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} | {
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"precision": "4bit",
"repository": "mlx-community/gemma-3-text-4b-it-4bit"
} | gemma-3-4b-it-bf16-4bit-apple-m5-max-128gb-mlx-tp1 | gemma-3-4b-it-bf16-4bit-apple-m5-max-128gb-mlx-tp1-sweep |
null | {
"name": "mlx",
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} | {
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"name": "Apple Pro 64GB, generation unspecified",
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} | gemma-3-4b-it-bf16-4bit-apple-pro-64gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-pro-64gb",
"model": "/api/v1/models/gemma-3-4b-it-bf16",
"recipe": "/api/v1/recipes/gemma-3-4b-it-bf16-4bit-apple-pro-64gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/gemma-3-4b-it-bf16-4bit-apple-pro-64gb-mlx-tp1-sweep"
} | 2026-04-29 | {
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} | {
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} | {
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"precision": "4bit",
"repository": "mlx-community/gemma-3-text-4b-it-4bit"
} | gemma-3-4b-it-bf16-4bit-apple-pro-64gb-mlx-tp1 | gemma-3-4b-it-bf16-4bit-apple-pro-64gb-mlx-tp1-sweep |
null | {
"name": "vllm",
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} | {
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} | gemma-4-12b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
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"recipe": "/api/v1/recipes/gemma-4-12b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/gemma-4-12b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep"
} | 2026-06-30 | {
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} | {
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} | {
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"precision": "BF16",
"repository": "google/gemma-4-12B-it"
} | gemma-4-12b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1 | gemma-4-12b-bf16-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep |
null | {
"name": "vllm",
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} | {
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} | gemma-4-12b-coder-fable5-composer2-5-v1-gguf-nvfp4-rtx-5090-32gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-5090-32gb",
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"recipe": "/api/v1/recipes/gemma-4-12b-coder-fable5-composer2-5-v1-gguf-nvfp4-rtx-5090-32gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/gemma-4-12b-coder-fable5-composer2-5-v1-gguf-nvfp4-r... | 2026-07-23 | {
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} | {
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} | {
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"precision": "NVFP4",
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} | gemma-4-12b-coder-fable5-composer2-5-v1-gguf-nvfp4-rtx-5090-32gb-vllm-tp1 | gemma-4-12b-coder-fable5-composer2-5-v1-gguf-nvfp4-rtx-5090-32gb-vllm-tp1-sweep |
2026-08-25T00:00:00 | {
"name": "tabbyapi",
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} | {
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} | gemma-4-12b-it-exl3-3bpw-rtx2000ada-tabbyapi-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-2000-ada-16gb",
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"speed_sweep": "/api/v1/speed-sweeps/gemma-4-12b-it-exl3-3bpw-rtx2000ada-tabbyapi-tp1-sweep"
} | 2026-08-25 | {
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} | {
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} | {
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"repository": "turboderp/gemma-4-12B-it-exl3"
} | gemma-4-12b-it-exl3-3bpw-rtx2000ada-tabbyapi-tp1 | gemma-4-12b-it-exl3-3bpw-rtx2000ada-tabbyapi-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "tabbyapi",
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} | {
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"id": "rtx-3090-24gb",
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} | gemma-4-12b-it-exl3-4bpw-rtx3090-tabbyapi-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-3090-24gb",
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"recipe": "/api/v1/recipes/gemma-4-12b-it-exl3-4bpw-rtx3090-tabbyapi-tp1",
"speed_sweep": "/api/v1/speed-sweeps/gemma-4-12b-it-exl3-4bpw-rtx3090-tabbyapi-tp1-sweep"
} | 2026-08-24 | {
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} | {
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"name": "Gemma-4-12B-it"
} | {
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} | gemma-4-12b-it-exl3-4bpw-rtx3090-tabbyapi-tp1 | gemma-4-12b-it-exl3-4bpw-rtx3090-tabbyapi-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "tabbyapi",
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} | {
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} | gemma-4-12b-it-exl3-4bpw-rtx4090-tabbyapi-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-4090-24gb",
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"recipe": "/api/v1/recipes/gemma-4-12b-it-exl3-4bpw-rtx4090-tabbyapi-tp1",
"speed_sweep": "/api/v1/speed-sweeps/gemma-4-12b-it-exl3-4bpw-rtx4090-tabbyapi-tp1-sweep"
} | 2026-08-24 | {
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} | {
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} | {
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} | gemma-4-12b-it-exl3-4bpw-rtx4090-tabbyapi-tp1 | gemma-4-12b-it-exl3-4bpw-rtx4090-tabbyapi-tp1-sweep |
2026-08-25T00:00:00 | {
"name": "tabbyapi",
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} | {
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} | gemma-4-12b-it-exl3-4bpw-rtxpro4000-tabbyapi-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-4000-blackwell-24gb",
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"recipe": "/api/v1/recipes/gemma-4-12b-it-exl3-4bpw-rtxpro4000-tabbyapi-tp1",
"speed_sweep": "/api/v1/speed-sweeps/gemma-4-12b-it-exl3-4bpw-rtxpro4000-tabbyapi-tp1-sweep"
} | 2026-08-24 | {
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} | {
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} | {
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} | gemma-4-12b-it-exl3-4bpw-rtxpro4000-tabbyapi-tp1 | gemma-4-12b-it-exl3-4bpw-rtxpro4000-tabbyapi-tp1-sweep |
null | {
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} | {
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} | gemma-4-12b-it-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/intel-arc-pro-b70-32gb",
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"recipe": "/api/v1/recipes/gemma-4-12b-it-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4",
"speed_sweep": "/api/v1/speed-sweeps/gemma-4-12b-it-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep"
} | 2026-06-07 | {
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} | {
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"name": "Gemma-4-12B-it"
} | {
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"precision": "INT4 AutoRound W4A16",
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} | gemma-4-12b-it-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4 | gemma-4-12b-it-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep |
2026-08-23T00:00:00 | {
"name": "sglang",
"version": "0.0.0.dev1+geec794bce"
} | {
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"id": "rtx-5090-32gb",
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"name": "GeForce RTX 5090",
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} | gemma-4-12b-it-nvfp4-rtx5090-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-5090-32gb",
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"recipe": "/api/v1/recipes/gemma-4-12b-it-nvfp4-rtx5090-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/gemma-4-12b-it-nvfp4-rtx5090-sglang-tp1-sweep"
} | 2026-08-23 | {
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} | {
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"name": "Gemma-4-12B-it"
} | {
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"id": "unsloth-gemma-4-12b-it-nvfp4--nvfp4",
"precision": "NVFP4",
"repository": "unsloth/gemma-4-12b-it-NVFP4"
} | gemma-4-12b-it-nvfp4-rtx5090-sglang-tp1 | gemma-4-12b-it-nvfp4-rtx5090-sglang-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
"version": "0.0.0.dev1+geec794bce"
} | {
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2026-08-24T00:00:00 | {
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null | {
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null | {
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null | {
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null | {
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} | gemma-4-26b-a4b-int8-rtx-5090-32gb-vllm-tp1 | gemma-4-26b-a4b-int8-rtx-5090-32gb-vllm-tp1-sweep |
null | {
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} | gemma-4-26b-a4b-int8-w8a16-rtx-3090-24gb-vllm-tp2 | gemma-4-26b-a4b-int8-w8a16-rtx-3090-24gb-vllm-tp2-sweep |
null | {
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} | gemma-4-26b-a4b-it-4bit-apple-m3-ultra-512gb-mlx-tp1-sweep | {
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} | 2026-04-26 | {
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} | gemma-4-26b-a4b-it-4bit-apple-m3-ultra-512gb-mlx-tp1 | gemma-4-26b-a4b-it-4bit-apple-m3-ultra-512gb-mlx-tp1-sweep |
null | {
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null | {
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null | {
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null | {
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null | {
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null | {
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null | {
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null | {
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} | gemma-4-31b-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp1 | gemma-4-31b-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep |
null | {
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} | {
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} | gemma-4-31b-int4-rtx-3090-24gb-vllm-tp2 | gemma-4-31b-int4-rtx-3090-24gb-vllm-tp2-sweep |
null | {
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null | {
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null | {
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null | {
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null | {
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null | {
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} | glm-4-7-flash-4bit-apple-m5-pro-64gb-mlx-tp1 | glm-4-7-flash-4bit-apple-m5-pro-64gb-mlx-tp1-sweep |
null | {
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null | {
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} | glm-4-7-flash-int4-rtx-5090-32gb-vllm-tp1 | glm-4-7-flash-int4-rtx-5090-32gb-vllm-tp1-sweep |
null | {
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} | glm-4-7-flash-q4-k-m-rx-7700-xt-12gb-vllm-tp1 | glm-4-7-flash-q4-k-m-rx-7700-xt-12gb-vllm-tp1-sweep |
null | {
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} | glm-5-1-nvfp4-nvfp4-rtx-pro-6000-blackwell-96gb-sglang-tp8 | glm-5-1-nvfp4-nvfp4-rtx-pro-6000-blackwell-96gb-sglang-tp8-sweep |
null | {
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} | glm-5-2-2-56bpw-mixed-apple-m3-ultra-512gb-mlx-tp1-sweep | {
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} | 2026-07-06 | {
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} | glm-5-2-2-56bpw-mixed-apple-m3-ultra-512gb-mlx-tp1 | glm-5-2-2-56bpw-mixed-apple-m3-ultra-512gb-mlx-tp1-sweep |
null | {
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} | glm-5-2-3-5bpw-mixed-apple-m3-ultra-512gb-mlx-tp1-sweep | {
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} | 2026-07-06 | {
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} | glm-5-2-3-5bpw-mixed-apple-m3-ultra-512gb-mlx-tp1 | glm-5-2-3-5bpw-mixed-apple-m3-ultra-512gb-mlx-tp1-sweep |
null | {
"name": "mlx",
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} | {
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"name": "Apple M3 Ultra 512GB",
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} | glm-5-2-mixed-3-6bit-apple-m3-ultra-512gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-m3-ultra-512gb",
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"speed_sweep": "/api/v1/speed-sweeps/glm-5-2-mixed-3-6bit-apple-m3-ultra-512gb-mlx-tp1-sweep"
} | 2026-06-19 | {
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} | {
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} | glm-5-2-mixed-3-6bit-apple-m3-ultra-512gb-mlx-tp1 | glm-5-2-mixed-3-6bit-apple-m3-ultra-512gb-mlx-tp1-sweep |
null | {
"name": "mlx",
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} | {
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} | glm-5-2-mlx-2-32bpw-dynamic-apple-m3-ultra-512gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-m3-ultra-512gb",
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"speed_sweep": "/api/v1/speed-sweeps/glm-5-2-mlx-2-32bpw-dynamic-apple-m3-ultra-512gb-mlx-tp1-sweep"
} | 2026-07-12 | {
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} | {
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} | glm-5-2-mlx-2-32bpw-dynamic-apple-m3-ultra-512gb-mlx-tp1 | glm-5-2-mlx-2-32bpw-dynamic-apple-m3-ultra-512gb-mlx-tp1-sweep |
null | {
"name": "mlx",
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} | {
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"vendor": "apple"
} | glm-5-2-mlx-2-56bpw-dynamic-apple-m3-ultra-512gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-m3-ultra-512gb",
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"recipe": "/api/v1/recipes/glm-5-2-mlx-2-56bpw-dynamic-apple-m3-ultra-512gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/glm-5-2-mlx-2-56bpw-dynamic-apple-m3-ultra-512gb-mlx-tp1-sweep"
} | 2026-07-14 | {
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} | {
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"precision": "MLX-2.56bpw-dynamic",
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} | glm-5-2-mlx-2-56bpw-dynamic-apple-m3-ultra-512gb-mlx-tp1 | glm-5-2-mlx-2-56bpw-dynamic-apple-m3-ultra-512gb-mlx-tp1-sweep |
null | {
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} | glm-5-2-mxfp8-nvfp4-nf3-hybrid-mxfp8-nvfp4-nf3-hybrid-rtx-pro-6000-blackwell-96gb-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
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"speed_sweep": "/api/v1/speed-sweeps/glm-5-2-mxfp8-nvfp4-nf3-hybrid-mxfp... | 2026-07-31 | {
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} | glm-5-2-mxfp8-nvfp4-nf3-hybrid-mxfp8-nvfp4-nf3-hybrid-rtx-pro-6000-blackwell-96gb-vllm-tp4 | glm-5-2-mxfp8-nvfp4-nf3-hybrid-mxfp8-nvfp4-nf3-hybrid-rtx-pro-6000-blackwell-96gb-vllm-tp4-sweep |
null | {
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} | {
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} | glm-5-2-nvfp4-nvfp4-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep | {
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} | 2026-06-29 | {
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} | {
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} | glm-5-2-nvfp4-nvfp4-rtx-pro-6000-blackwell-96gb-vllm-tp1 | glm-5-2-nvfp4-nvfp4-rtx-pro-6000-blackwell-96gb-vllm-tp1-sweep |
null | {
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} | {
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} | glm-5-2-nvfp4-nvfp4-rtx-pro-6000-blackwell-96gb-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
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} | 2026-07-25 | {
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} | {
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} | glm-5-2-nvfp4-nvfp4-rtx-pro-6000-blackwell-96gb-vllm-tp4 | glm-5-2-nvfp4-nvfp4-rtx-pro-6000-blackwell-96gb-vllm-tp4-sweep |
null | {
"name": "vllm",
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} | {
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"name": "RTX PRO 6000 Blackwell",
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} | glm-5-3-flash-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp4-7mfqe264-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
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"recipe": "/api/v1/recipes/glm-5-3-flash-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp4-7mfqe264",
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} | 2026-08-26T20:15:45.070Z | {
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} | {
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} | {
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} | glm-5-3-flash-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp4-7mfqe264 | glm-5-3-flash-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp4-7mfqe264-sweep |
2026-08-24T00:00:00 | {
"name": "vllm",
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} | {
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} | glm-52-vision-exl3-tr3-3bpw-vision-rtxpro6000-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
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"speed_sweep": "/api/v1/speed-sweeps/glm-52-vision-exl3-tr3-3bpw-vision-rtxpro6000-vllm-tp4-sweep"
} | 2026-08-23 | {
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} | {
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} | {
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} | glm-52-vision-exl3-tr3-3bpw-vision-rtxpro6000-vllm-tp4 | glm-52-vision-exl3-tr3-3bpw-vision-rtxpro6000-vllm-tp4-sweep |
2026-08-23T00:00:00 | {
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} | glm52-exl3-rtxpro6000-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
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} | 2026-08-17 | {
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} | {
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} | glm52-exl3-rtxpro6000-vllm-tp4 | glm52-exl3-rtxpro6000-vllm-tp4-sweep |
2026-08-23T00:00:00 | {
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} | {
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} | glm52-int4-int8mix-dgxspark-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/dgx-spark-gb10-128gb",
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"speed_sweep": "/api/v1/speed-sweeps/glm52-int4-int8mix-dgxspark-vllm-tp4-sweep"
} | 2026-08-16 | {
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} | {
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} | {
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} | glm52-int4-int8mix-dgxspark-vllm-tp4 | glm52-int4-int8mix-dgxspark-vllm-tp4-sweep |
2026-08-24T00:00:00 | {
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} | {
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} | glm52-mxfp8-nvfp4-nf3-rtxpro6000-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
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"recipe": "/api/v1/recipes/glm52-mxfp8-nvfp4-nf3-rtxpro6000-vllm-tp4",
"speed_sweep": "/api/v1/speed-sweeps/glm52-mxfp8-nvfp4-nf3-rtxpro6000-vllm-tp4-sweep"
} | 2026-07-29 | {
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} | {
"family": "glm",
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} | {
"format": "safetensors",
"id": "madeby561-glm-5-2-mxfp8-nvfp4-nf3-hybrid--mxfp8-nvfp4-nf3-hybrid",
"precision": "MXFP8/NVFP4/NF3 hybrid",
"repository": "madeby561/GLM-5.2-MXFP8-NVFP4-NF3-Hybrid"
} | glm52-mxfp8-nvfp4-nf3-rtxpro6000-vllm-tp4 | glm52-mxfp8-nvfp4-nf3-rtxpro6000-vllm-tp4-sweep |
2026-08-23T00:00:00 | {
"name": "vllm",
"version": "jarrelscy glm52-sm120 fork"
} | {
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"name": "NVIDIA DGX Spark GB10",
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"vendor": "nvidia"
} | glm52-nvfp4-aqlm-dgxspark-vllm-tp3-sweep | {
"hardware": "/api/v1/hardware/dgx-spark-gb10-128gb",
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"recipe": "/api/v1/recipes/glm52-nvfp4-aqlm-dgxspark-vllm-tp3",
"speed_sweep": "/api/v1/speed-sweeps/glm52-nvfp4-aqlm-dgxspark-vllm-tp3-sweep"
} | 2026-07-26 | {
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} | {
"family": "glm",
"id": "glm-5-2",
"name": "GLM-5.2"
} | {
"format": "hybrid ModelOpt+AQLM",
"id": "jarrelscy-glm-5-2-nvfp4-aqlm-hybrid--nvfp4-hot-experts-aqlm-2-bit-cold-experts",
"precision": "NVFP4 hot experts + AQLM 2-bit cold experts",
"repository": "jarrelscy/GLM-5.2-NVFP4-AQLM-hybrid"
} | glm52-nvfp4-aqlm-dgxspark-vllm-tp3 | glm52-nvfp4-aqlm-dgxspark-vllm-tp3-sweep |
2026-08-24T00:00:00 | {
"name": "vllm",
"version": "voipmonitor b12x build 20260608; exact commit unreported"
} | {
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"name": "RTX PRO 6000 Blackwell",
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"vendor": "nvidia"
} | glm52-nvfp4-reap-469b-rtxpro6000-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/glm-5-2",
"recipe": "/api/v1/recipes/glm52-nvfp4-reap-469b-rtxpro6000-vllm-tp4",
"speed_sweep": "/api/v1/speed-sweeps/glm52-nvfp4-reap-469b-rtxpro6000-vllm-tp4-sweep"
} | 2026-08-24 | {
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} | {
"family": "glm",
"id": "glm-5-2",
"name": "GLM-5.2"
} | {
"format": "ModelOpt safetensors",
"id": "0xsero-glm-5-2-nvfp4-reap-469b--nvfp4-reap",
"precision": "NVFP4 REAP",
"repository": "0xSero/GLM-5.2-NVFP4-REAP-469B"
} | glm52-nvfp4-reap-469b-rtxpro6000-vllm-tp4 | glm52-nvfp4-reap-469b-rtxpro6000-vllm-tp4-sweep |
2026-08-24T00:00:00 | {
"name": "vllm",
"version": "b12x nonuniform fork 20260705; exact commit unreported"
} | {
"count": 4,
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"name": "RTX PRO 6000 Blackwell",
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} | glm52-nvfp4-reap-nu176-rtxpro6000-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/glm-5-2",
"recipe": "/api/v1/recipes/glm52-nvfp4-reap-nu176-rtxpro6000-vllm-tp4",
"speed_sweep": "/api/v1/speed-sweeps/glm52-nvfp4-reap-nu176-rtxpro6000-vllm-tp4-sweep"
} | 2026-08-24 | {
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} | {
"family": "glm",
"id": "glm-5-2",
"name": "GLM-5.2"
} | {
"format": "ModelOpt safetensors",
"id": "0xsero-glm-5-2-reap-nu176-526b--nvfp4-non-uniform-reap",
"precision": "NVFP4 non-uniform REAP",
"repository": "0xSero/GLM-5.2-REAP-NU176-526B"
} | glm52-nvfp4-reap-nu176-rtxpro6000-vllm-tp4 | glm52-nvfp4-reap-nu176-rtxpro6000-vllm-tp4-sweep |
2026-08-27T00:00:00 | {
"name": "sglang",
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} | {
"count": 2,
"id": "dgx-spark-gb10-128gb",
"memory_gb": 128,
"name": "NVIDIA DGX Spark GB10",
"total_memory_gb": 256,
"vendor": "nvidia"
} | glm53-flash-nvfp4-dgxspark-sglang-tp2-sweep | {
"hardware": "/api/v1/hardware/dgx-spark-gb10-128gb",
"model": "/api/v1/models/glm-5-3-flash",
"recipe": "/api/v1/recipes/glm53-flash-nvfp4-dgxspark-sglang-tp2",
"speed_sweep": "/api/v1/speed-sweeps/glm53-flash-nvfp4-dgxspark-sglang-tp2-sweep"
} | 2026-08-27 | {
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} | {
"family": "glm",
"id": "glm-5-3-flash",
"name": "GLM-5.3-Flash"
} | {
"format": "ModelOpt",
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"precision": "NVFP4",
"repository": "LibertAIDAI/GLM-5.3-Flash-NVFP4"
} | glm53-flash-nvfp4-dgxspark-sglang-tp2 | glm53-flash-nvfp4-dgxspark-sglang-tp2-sweep |
2026-08-27T00:00:00 | {
"name": "sglang",
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} | {
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"memory_gb": 128,
"name": "NVIDIA DGX Spark GB10",
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} | glm53-flash-nvfp4-dgxspark-sglang-tp4-sweep | {
"hardware": "/api/v1/hardware/dgx-spark-gb10-128gb",
"model": "/api/v1/models/glm-5-3-flash",
"recipe": "/api/v1/recipes/glm53-flash-nvfp4-dgxspark-sglang-tp4",
"speed_sweep": "/api/v1/speed-sweeps/glm53-flash-nvfp4-dgxspark-sglang-tp4-sweep"
} | 2026-08-27 | {
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} | {
"family": "glm",
"id": "glm-5-3-flash",
"name": "GLM-5.3-Flash"
} | {
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"precision": "NVFP4",
"repository": "LibertAIDAI/GLM-5.3-Flash-NVFP4"
} | glm53-flash-nvfp4-dgxspark-sglang-tp4 | glm53-flash-nvfp4-dgxspark-sglang-tp4-sweep |
null | {
"name": "sglang",
"version": "lmsysorg/sglang:glm-5.3-flash@sha256:3a97bd50034ca60c6e6c86b8e36a73675d261f6a5eb71197796aee5175409290"
} | {
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"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
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"vendor": "nvidia"
} | glm53-flash-nvfp4-rtxpro6000-sglang-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/glm-5-3-flash",
"recipe": "/api/v1/recipes/glm53-flash-nvfp4-rtxpro6000-sglang-tp4",
"speed_sweep": "/api/v1/speed-sweeps/glm53-flash-nvfp4-rtxpro6000-sglang-tp4-sweep"
} | 2026-08-26 | {
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} | {
"family": "glm",
"id": "glm-5-3-flash",
"name": "GLM-5.3-Flash"
} | {
"format": "ModelOpt",
"id": "libertaidai-glm-5-3-flash-nvfp4--nvfp4",
"precision": "NVFP4",
"repository": "LibertAIDAI/GLM-5.3-Flash-NVFP4"
} | glm53-flash-nvfp4-rtxpro6000-sglang-tp4 | glm53-flash-nvfp4-rtxpro6000-sglang-tp4-sweep |
null | {
"name": "vllm",
"version": "0.19.2rc1.dev134+gfe9c3d6c5"
} | {
"count": 1,
"id": "rtx-5090-32gb",
"memory_gb": 32,
"name": "GeForce RTX 5090",
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"vendor": "nvidia"
} | huihui-qwen3-6-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-5090-32gb",
"model": "/api/v1/models/huihui-qwen3-6-27b-abliterated",
"recipe": "/api/v1/recipes/huihui-qwen3-6-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/huihui-qwen3-6-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1-sweep"
} | 2026-05-06 | {
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} | {
"family": "qwen",
"id": "huihui-qwen3-6-27b-abliterated",
"name": "Huihui-Qwen3.6-27B-abliterated"
} | {
"format": "safetensors",
"id": "sakamakismile-huihui-qwen3-6-27b-abliterated-nvfp4-mtp--nvfp4",
"precision": "NVFP4",
"repository": "sakamakismile/Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP"
} | huihui-qwen3-6-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1 | huihui-qwen3-6-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1-sweep |
null | {
"name": "mlx",
"version": "oMLX 0.6.1 (12249931772fe070fb957a85a65c8f87ea4363b8)"
} | {
"count": 1,
"id": "apple-m3-ultra-96gb",
"memory_gb": 96,
"name": "Apple M3 Ultra 96GB",
"total_memory_gb": 96,
"vendor": "apple"
} | huihui-qwen3-8-27b-abliterated-mlx-8bit-apple-m3-ultra-96gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-m3-ultra-96gb",
"model": "/api/v1/models/huihui-qwen3-8-27b-abliterated",
"recipe": "/api/v1/recipes/huihui-qwen3-8-27b-abliterated-mlx-8bit-apple-m3-ultra-96gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/huihui-qwen3-8-27b-abliterated-mlx-8bit-apple-m3-ultra-96gb-mlx-tp... | 2026-08-19 | {
"best_ttft_ms": null,
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} | {
"family": "qwen",
"id": "huihui-qwen3-8-27b-abliterated",
"name": "Huihui-Qwen3.8-27B-abliterated"
} | {
"format": "MLX",
"id": "ailexleon-huihui-qwen3-8-27b-abliterated-mlx-8bit--mlx-8bit",
"precision": "MLX-8bit",
"repository": "ailexleon/Huihui-Qwen3.8-27B-abliterated-mlx-8Bit"
} | huihui-qwen3-8-27b-abliterated-mlx-8bit-apple-m3-ultra-96gb-mlx-tp1 | huihui-qwen3-8-27b-abliterated-mlx-8bit-apple-m3-ultra-96gb-mlx-tp1-sweep |
null | {
"name": "vllm",
"version": null
} | {
"count": 1,
"id": "rtx-5090-32gb",
"memory_gb": 32,
"name": "GeForce RTX 5090",
"total_memory_gb": 32,
"vendor": "nvidia"
} | huihui-qwen3-8-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-5090-32gb",
"model": "/api/v1/models/huihui-qwen3-8-27b-abliterated",
"recipe": "/api/v1/recipes/huihui-qwen3-8-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/huihui-qwen3-8-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1-sweep"
} | 2026-08-17 | {
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"point_count": 1
} | {
"family": "qwen",
"id": "huihui-qwen3-8-27b-abliterated",
"name": "Huihui-Qwen3.8-27B-abliterated"
} | {
"format": "safetensors",
"id": "sakamakismile-huihui-qwen3-8-27b-abliterated-nvfp4--nvfp4",
"precision": "NVFP4",
"repository": "sakamakismile/Huihui-Qwen3.8-27B-abliterated-NVFP4"
} | huihui-qwen3-8-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1 | huihui-qwen3-8-27b-abliterated-nvfp4-rtx-5090-32gb-vllm-tp1-sweep |
2026-08-23T00:00:00 | {
"name": "vllm",
"version": "65b7662d3fcb773afaf751ab29ac6960a0cf011d+sm121-overlays"
} | {
"count": 2,
"id": "dgx-spark-gb10-128gb",
"memory_gb": 128,
"name": "NVIDIA DGX Spark GB10",
"total_memory_gb": 256,
"vendor": "nvidia"
} | inkling-small-nvfp4-dgxspark-vllm-tp2-sweep | {
"hardware": "/api/v1/hardware/dgx-spark-gb10-128gb",
"model": "/api/v1/models/inkling-small",
"recipe": "/api/v1/recipes/inkling-small-nvfp4-dgxspark-vllm-tp2",
"speed_sweep": "/api/v1/speed-sweeps/inkling-small-nvfp4-dgxspark-vllm-tp2-sweep"
} | 2026-08-12 | {
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} | {
"family": "inkling",
"id": "inkling-small",
"name": "Inkling-Small"
} | {
"format": "ModelOpt",
"id": "thinkingmachines-inkling-small-nvfp4--nvfp4",
"precision": "NVFP4",
"repository": "thinkingmachines/Inkling-Small-NVFP4"
} | inkling-small-nvfp4-dgxspark-vllm-tp2 | inkling-small-nvfp4-dgxspark-vllm-tp2-sweep |
null | {
"name": "sglang",
"version": "lmsysorg/sglang:dev-cu13-inkling-dspark@sha256:fbea1a4e25b26660dbc2384a27ead8817e9b7670f257b5c3143e0450d14524d7 + 1 patched file (SGLang commit b7252cc6b0c78b25ecea7ee5efa91a6ae37d0f19); built image local/sglang-inkling:sm120"
} | {
"count": 2,
"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
"total_memory_gb": 192,
"vendor": "nvidia"
} | inkling-small-nvfp4-rtxpro6000-sglang-tp2-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/inkling-small",
"recipe": "/api/v1/recipes/inkling-small-nvfp4-rtxpro6000-sglang-tp2",
"speed_sweep": "/api/v1/speed-sweeps/inkling-small-nvfp4-rtxpro6000-sglang-tp2-sweep"
} | 2026-08-26 | {
"best_ttft_ms": 60,
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"point_count": 5
} | {
"family": "inkling",
"id": "inkling-small",
"name": "Inkling-Small"
} | {
"format": "ModelOpt",
"id": "thinkingmachines-inkling-small-nvfp4--nvfp4",
"precision": "NVFP4",
"repository": "thinkingmachines/Inkling-Small-NVFP4"
} | inkling-small-nvfp4-rtxpro6000-sglang-tp2 | inkling-small-nvfp4-rtxpro6000-sglang-tp2-sweep |
null | {
"name": "SGLang",
"version": "0.5.9"
} | {
"count": 8,
"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
"total_memory_gb": 768,
"vendor": "nvidia"
} | kimi-k2-5-int4-rtx-pro-6000-blackwell-96gb-sglang-tp8-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/kimi-k2-5",
"recipe": "/api/v1/recipes/kimi-k2-5-int4-rtx-pro-6000-blackwell-96gb-sglang-tp8",
"speed_sweep": "/api/v1/speed-sweeps/kimi-k2-5-int4-rtx-pro-6000-blackwell-96gb-sglang-tp8-sweep"
} | 2026-04-25 | {
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} | {
"family": "kimi",
"id": "kimi-k2-5",
"name": "Kimi-K2.5"
} | {
"format": "safetensors",
"id": "moonshotai-kimi-k2-5--int4",
"precision": "INT4",
"repository": "moonshotai/Kimi-K2.5"
} | kimi-k2-5-int4-rtx-pro-6000-blackwell-96gb-sglang-tp8 | kimi-k2-5-int4-rtx-pro-6000-blackwell-96gb-sglang-tp8-sweep |
null | {
"name": "mlx",
"version": null
} | {
"count": 1,
"id": "apple-m5-pro-48gb",
"memory_gb": 48,
"name": "Apple M5 Pro 48GB",
"total_memory_gb": 48,
"vendor": "apple"
} | lfm2-5-8b-a1b-base-int4-apple-m5-pro-48gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-m5-pro-48gb",
"model": "/api/v1/models/lfm2-5-8b-a1b-base",
"recipe": "/api/v1/recipes/lfm2-5-8b-a1b-base-int4-apple-m5-pro-48gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm2-5-8b-a1b-base-int4-apple-m5-pro-48gb-mlx-tp1-sweep"
} | 2026-05-30 | {
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} | {
"family": "lfm",
"id": "lfm2-5-8b-a1b-base",
"name": "LFM2.5-8B-A1B-Base"
} | {
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"precision": "INT4",
"repository": "LiquidAI/LFM2.5-8B-A1B"
} | lfm2-5-8b-a1b-base-int4-apple-m5-pro-48gb-mlx-tp1 | lfm2-5-8b-a1b-base-int4-apple-m5-pro-48gb-mlx-tp1-sweep |
null | {
"name": "vllm",
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} | {
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"id": "rx-7700-xt-12gb",
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"name": "AMD Radeon RX 7700 XT",
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"vendor": "amd"
} | lfm2-5-8b-a1b-iq4-xs-rx-7700-xt-12gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/rx-7700-xt-12gb",
"model": "/api/v1/models/lfm2-5-8b-a1b",
"recipe": "/api/v1/recipes/lfm2-5-8b-a1b-iq4-xs-rx-7700-xt-12gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm2-5-8b-a1b-iq4-xs-rx-7700-xt-12gb-vllm-tp1-sweep"
} | 2026-07-16 | {
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} | {
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"precision": "IQ4_XS",
"repository": "unsloth/LFM2.5-8B-A1B"
} | lfm2-5-8b-a1b-iq4-xs-rx-7700-xt-12gb-vllm-tp1 | lfm2-5-8b-a1b-iq4-xs-rx-7700-xt-12gb-vllm-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
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} | {
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"name": "AMD Instinct MI300X",
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} | lfm25-26b-bf16-mi300x-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/mi300x-192gb",
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"recipe": "/api/v1/recipes/lfm25-26b-bf16-mi300x-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm25-26b-bf16-mi300x-sglang-tp1-sweep"
} | 2026-08-24 | {
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} | {
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} | {
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"precision": "BF16",
"repository": "LiquidAI/LFM2.5-2.6B"
} | lfm25-26b-bf16-mi300x-sglang-tp1 | lfm25-26b-bf16-mi300x-sglang-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
"version": "0.0.0.dev1+geec794bce.d20260823"
} | {
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"name": "NVIDIA RTX 2000 Ada Generation",
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"vendor": "nvidia"
} | lfm25-26b-bf16-rtx2000ada-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-2000-ada-16gb",
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"recipe": "/api/v1/recipes/lfm25-26b-bf16-rtx2000ada-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm25-26b-bf16-rtx2000ada-sglang-tp1-sweep"
} | 2026-08-24 | {
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} | {
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"name": "LFM2.5-2.6B"
} | {
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"id": "liquidai-lfm2-5-2-6b--bf16",
"precision": "BF16",
"repository": "LiquidAI/LFM2.5-2.6B"
} | lfm25-26b-bf16-rtx2000ada-sglang-tp1 | lfm25-26b-bf16-rtx2000ada-sglang-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
"version": "0.0.0.dev1+geec794bce.d20260823"
} | {
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"name": "GeForce RTX 3090",
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"vendor": "nvidia"
} | lfm25-26b-bf16-rtx3090-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-3090-24gb",
"model": "/api/v1/models/lfm2-5-2-6b",
"recipe": "/api/v1/recipes/lfm25-26b-bf16-rtx3090-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm25-26b-bf16-rtx3090-sglang-tp1-sweep"
} | 2026-08-24 | {
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} | {
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} | {
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"id": "liquidai-lfm2-5-2-6b--bf16",
"precision": "BF16",
"repository": "LiquidAI/LFM2.5-2.6B"
} | lfm25-26b-bf16-rtx3090-sglang-tp1 | lfm25-26b-bf16-rtx3090-sglang-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
"version": "0.0.0.dev1+geec794bce.d20260823"
} | {
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"name": "NVIDIA RTX 4000 Ada Generation",
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"vendor": "nvidia"
} | lfm25-26b-bf16-rtx4000ada-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-4000-ada-20gb",
"model": "/api/v1/models/lfm2-5-2-6b",
"recipe": "/api/v1/recipes/lfm25-26b-bf16-rtx4000ada-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm25-26b-bf16-rtx4000ada-sglang-tp1-sweep"
} | 2026-08-24 | {
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} | {
"family": "lfm",
"id": "lfm2-5-2-6b",
"name": "LFM2.5-2.6B"
} | {
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"id": "liquidai-lfm2-5-2-6b--bf16",
"precision": "BF16",
"repository": "LiquidAI/LFM2.5-2.6B"
} | lfm25-26b-bf16-rtx4000ada-sglang-tp1 | lfm25-26b-bf16-rtx4000ada-sglang-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
"version": "0.0.0.dev1+geec794bce.d20260823"
} | {
"count": 1,
"id": "rtx-4090-24gb",
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"name": "GeForce RTX 4090",
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"vendor": "nvidia"
} | lfm25-26b-bf16-rtx4090-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-4090-24gb",
"model": "/api/v1/models/lfm2-5-2-6b",
"recipe": "/api/v1/recipes/lfm25-26b-bf16-rtx4090-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm25-26b-bf16-rtx4090-sglang-tp1-sweep"
} | 2026-08-24 | {
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} | {
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"name": "LFM2.5-2.6B"
} | {
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"id": "liquidai-lfm2-5-2-6b--bf16",
"precision": "BF16",
"repository": "LiquidAI/LFM2.5-2.6B"
} | lfm25-26b-bf16-rtx4090-sglang-tp1 | lfm25-26b-bf16-rtx4090-sglang-tp1-sweep |
2026-08-23T00:00:00 | {
"name": "sglang",
"version": "0.0.0.dev1+geec794bce"
} | {
"count": 1,
"id": "rtx-5090-32gb",
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"name": "GeForce RTX 5090",
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"vendor": "nvidia"
} | lfm25-26b-bf16-rtx5090-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-5090-32gb",
"model": "/api/v1/models/lfm2-5-2-6b",
"recipe": "/api/v1/recipes/lfm25-26b-bf16-rtx5090-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm25-26b-bf16-rtx5090-sglang-tp1-sweep"
} | 2026-08-23 | {
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} | {
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} | {
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"precision": "BF16",
"repository": "LiquidAI/LFM2.5-2.6B"
} | lfm25-26b-bf16-rtx5090-sglang-tp1 | lfm25-26b-bf16-rtx5090-sglang-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
"version": "0.0.0.dev1+geec794bce"
} | {
"count": 1,
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"name": "NVIDIA RTX PRO 4000 Blackwell",
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"vendor": "nvidia"
} | lfm25-26b-bf16-rtxpro4000-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-4000-blackwell-24gb",
"model": "/api/v1/models/lfm2-5-2-6b",
"recipe": "/api/v1/recipes/lfm25-26b-bf16-rtxpro4000-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm25-26b-bf16-rtxpro4000-sglang-tp1-sweep"
} | 2026-08-24 | {
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} | {
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"name": "LFM2.5-2.6B"
} | {
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"id": "liquidai-lfm2-5-2-6b--bf16",
"precision": "BF16",
"repository": "LiquidAI/LFM2.5-2.6B"
} | lfm25-26b-bf16-rtxpro4000-sglang-tp1 | lfm25-26b-bf16-rtxpro4000-sglang-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
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} | {
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"name": "NVIDIA RTX PRO 4500 Blackwell",
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"vendor": "nvidia"
} | lfm25-26b-bf16-rtxpro4500-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-4500-blackwell-32gb",
"model": "/api/v1/models/lfm2-5-2-6b",
"recipe": "/api/v1/recipes/lfm25-26b-bf16-rtxpro4500-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm25-26b-bf16-rtxpro4500-sglang-tp1-sweep"
} | 2026-08-24 | {
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} | {
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} | {
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"id": "liquidai-lfm2-5-2-6b--bf16",
"precision": "BF16",
"repository": "LiquidAI/LFM2.5-2.6B"
} | lfm25-26b-bf16-rtxpro4500-sglang-tp1 | lfm25-26b-bf16-rtxpro4500-sglang-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
"version": "0.0.0.dev1+geec794bce"
} | {
"count": 1,
"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
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"vendor": "nvidia"
} | lfm25-26b-bf16-rtxpro6000-sglang-tp1-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/lfm2-5-2-6b",
"recipe": "/api/v1/recipes/lfm25-26b-bf16-rtxpro6000-sglang-tp1",
"speed_sweep": "/api/v1/speed-sweeps/lfm25-26b-bf16-rtxpro6000-sglang-tp1-sweep"
} | 2026-08-24 | {
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} | {
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"id": "lfm2-5-2-6b",
"name": "LFM2.5-2.6B"
} | {
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"id": "liquidai-lfm2-5-2-6b--bf16",
"precision": "BF16",
"repository": "LiquidAI/LFM2.5-2.6B"
} | lfm25-26b-bf16-rtxpro6000-sglang-tp1 | lfm25-26b-bf16-rtxpro6000-sglang-tp1-sweep |
null | {
"name": "vllm",
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} | {
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"memory_gb": 32,
"name": "Intel Arc Pro B70",
"total_memory_gb": 128,
"vendor": "intel"
} | minimax-m2-7-autoround-int4-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/intel-arc-pro-b70-32gb",
"model": "/api/v1/models/minimax-m2-7",
"recipe": "/api/v1/recipes/minimax-m2-7-autoround-int4-w4a16-intel-arc-pro-b70-32gb-vllm-tp4",
"speed_sweep": "/api/v1/speed-sweeps/minimax-m2-7-autoround-int4-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep"
} | 2026-05-21 | {
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} | {
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"id": "minimax-m2-7",
"name": "MiniMax-M2.7"
} | {
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"precision": "AutoRound INT4 W4A16",
"repository": "Lasimeri/MiniMax-M2.7-int4-AutoRound"
} | minimax-m2-7-autoround-int4-w4a16-intel-arc-pro-b70-32gb-vllm-tp4 | minimax-m2-7-autoround-int4-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep |
null | {
"name": "vllm",
"version": "0.20.1-local"
} | {
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"id": "intel-arc-pro-b70-32gb",
"memory_gb": 32,
"name": "Intel Arc Pro B70",
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"vendor": "intel"
} | minimax-m2-7-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/intel-arc-pro-b70-32gb",
"model": "/api/v1/models/minimax-m2-7",
"recipe": "/api/v1/recipes/minimax-m2-7-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4",
"speed_sweep": "/api/v1/speed-sweeps/minimax-m2-7-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep"
} | 2026-05-14 | {
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} | {
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"id": "minimax-m2-7",
"name": "MiniMax-M2.7"
} | {
"format": "safetensors",
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"precision": "AutoRound W4A16",
"repository": "Lasimeri/MiniMax-M2.7-int4-AutoRound"
} | minimax-m2-7-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4 | minimax-m2-7-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep |
null | {
"name": "vllm",
"version": "0.20.1-local"
} | {
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"id": "intel-arc-pro-b70-32gb",
"memory_gb": 32,
"name": "Intel Arc Pro B70",
"total_memory_gb": 128,
"vendor": "intel"
} | minimax-m2-7-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/intel-arc-pro-b70-32gb",
"model": "/api/v1/models/minimax-m2-7",
"recipe": "/api/v1/recipes/minimax-m2-7-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4",
"speed_sweep": "/api/v1/speed-sweeps/minimax-m2-7-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep"
} | 2026-05-22 | {
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} | {
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"id": "minimax-m2-7",
"name": "MiniMax-M2.7"
} | {
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"id": "lasimeri-minimax-m2-7-int4-autoround--int4-autoround-w4a16",
"precision": "INT4 AutoRound W4A16",
"repository": "Lasimeri/MiniMax-M2.7-int4-AutoRound"
} | minimax-m2-7-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4 | minimax-m2-7-int4-autoround-w4a16-intel-arc-pro-b70-32gb-vllm-tp4-sweep |
null | {
"name": "mlx",
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} | {
"count": 1,
"id": "apple-max-128gb",
"memory_gb": 128,
"name": "Apple Max 128GB, generation unspecified",
"total_memory_gb": 128,
"vendor": "apple"
} | minimax-m2-7-jangtq-apple-max-128gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-max-128gb",
"model": "/api/v1/models/minimax-m2-7",
"recipe": "/api/v1/recipes/minimax-m2-7-jangtq-apple-max-128gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/minimax-m2-7-jangtq-apple-max-128gb-mlx-tp1-sweep"
} | 2026-05-04 | {
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"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "minimax",
"id": "minimax-m2-7",
"name": "MiniMax-M2.7"
} | {
"format": "MLX",
"id": "dealignai-minimax-m2-7-jangtq-crack--jangtq",
"precision": "JANGTQ",
"repository": "dealignai/MiniMax-M2.7-JANGTQ-CRACK"
} | minimax-m2-7-jangtq-apple-max-128gb-mlx-tp1 | minimax-m2-7-jangtq-apple-max-128gb-mlx-tp1-sweep |
null | {
"name": "mlx",
"version": null
} | {
"count": 1,
"id": "apple-m3-ultra-512gb",
"memory_gb": 512,
"name": "Apple M3 Ultra 512GB",
"total_memory_gb": 512,
"vendor": "apple"
} | minimax-m3-3bit-apple-m3-ultra-512gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-m3-ultra-512gb",
"model": "/api/v1/models/minimax-m3",
"recipe": "/api/v1/recipes/minimax-m3-3bit-apple-m3-ultra-512gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/minimax-m3-3bit-apple-m3-ultra-512gb-mlx-tp1-sweep"
} | 2026-06-30 | {
"best_ttft_ms": 500,
"max_concurrency": 1,
"max_context_tokens": 40960000,
"peak_decode_tok_s": 21.2,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "minimax",
"id": "minimax-m3",
"name": "MiniMax-M3"
} | {
"format": "MLX",
"id": "pipenetwork-minimax-m3-mlx-3bit--3bit",
"precision": "3bit",
"repository": "pipenetwork/MiniMax-M3-MLX-3bit"
} | minimax-m3-3bit-apple-m3-ultra-512gb-mlx-tp1 | minimax-m3-3bit-apple-m3-ultra-512gb-mlx-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "vllm",
"version": "source-built patched image; base commit unreported"
} | {
"count": 4,
"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
"total_memory_gb": 384,
"vendor": "nvidia"
} | minimax-m3-mxfp4-rtxpro6000-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/minimax-m3",
"recipe": "/api/v1/recipes/minimax-m3-mxfp4-rtxpro6000-vllm-tp4",
"speed_sweep": "/api/v1/speed-sweeps/minimax-m3-mxfp4-rtxpro6000-vllm-tp4-sweep"
} | 2026-08-24 | {
"best_ttft_ms": null,
"max_concurrency": 4,
"max_context_tokens": 131072,
"peak_decode_tok_s": 184,
"peak_decode_tok_s_per_stream": 113,
"peak_prefill_tok_s": 2800,
"peak_vram_gb": null,
"point_count": 3
} | {
"family": "minimax",
"id": "minimax-m3",
"name": "MiniMax-M3"
} | {
"format": "compressed-tensors safetensors",
"id": "olka-fi-minimax-m3-mxfp4--mxfp4",
"precision": "MXFP4",
"repository": "olka-fi/MiniMax-M3-MXFP4"
} | minimax-m3-mxfp4-rtxpro6000-vllm-tp4 | minimax-m3-mxfp4-rtxpro6000-vllm-tp4-sweep |
2026-08-24T00:00:00 | {
"name": "vllm",
"version": "0.22.0"
} | {
"count": 4,
"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
"total_memory_gb": 384,
"vendor": "nvidia"
} | nemotron-3-ultra-modelopt-mixed-rtxpro6000-vllm-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/nemotron-3-ultra",
"recipe": "/api/v1/recipes/nemotron-3-ultra-modelopt-mixed-rtxpro6000-vllm-tp4",
"speed_sweep": "/api/v1/speed-sweeps/nemotron-3-ultra-modelopt-mixed-rtxpro6000-vllm-tp4-sweep"
} | 2026-06-11 | {
"best_ttft_ms": null,
"max_concurrency": 1,
"max_context_tokens": 261056,
"peak_decode_tok_s": 120.7,
"peak_decode_tok_s_per_stream": 120.7,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 6
} | {
"family": "nemotron",
"id": "nemotron-3-ultra",
"name": "Nemotron-3-Ultra"
} | {
"format": "ModelOpt mixed quantization",
"id": "nvidia-nvidia-nemotron-3-ultra-550b-a55b-nvfp4--nvfp4-mixed",
"precision": "NVFP4 mixed",
"repository": "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4"
} | nemotron-3-ultra-modelopt-mixed-rtxpro6000-vllm-tp4 | nemotron-3-ultra-modelopt-mixed-rtxpro6000-vllm-tp4-sweep |
null | {
"name": "mlx",
"version": "0.31.2"
} | {
"count": 1,
"id": "apple-m3-ultra-512gb",
"memory_gb": 512,
"name": "Apple M3 Ultra 512GB",
"total_memory_gb": 512,
"vendor": "apple"
} | nemotron-cascade-2-30b-a3b-4bit-apple-m3-ultra-512gb-mlx-tp1-sweep | {
"hardware": "/api/v1/hardware/apple-m3-ultra-512gb",
"model": "/api/v1/models/nemotron-cascade-2-30b-a3b",
"recipe": "/api/v1/recipes/nemotron-cascade-2-30b-a3b-4bit-apple-m3-ultra-512gb-mlx-tp1",
"speed_sweep": "/api/v1/speed-sweeps/nemotron-cascade-2-30b-a3b-4bit-apple-m3-ultra-512gb-mlx-tp1-sweep"
} | 2026-04-26 | {
"best_ttft_ms": 1308,
"max_concurrency": 1,
"max_context_tokens": 8192,
"peak_decode_tok_s": 140.8,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "nemotron",
"id": "nemotron-cascade-2-30b-a3b",
"name": "Nemotron-Cascade-2-30B-A3B"
} | {
"format": "MLX",
"id": "nvidia-nemotron-cascade-2-30b-a3b--4bit",
"precision": "4bit",
"repository": "nvidia/Nemotron-Cascade-2-30B-A3B"
} | nemotron-cascade-2-30b-a3b-4bit-apple-m3-ultra-512gb-mlx-tp1 | nemotron-cascade-2-30b-a3b-4bit-apple-m3-ultra-512gb-mlx-tp1-sweep |
2026-08-24T00:00:00 | {
"name": "sglang",
"version": "0.5.12 fork"
} | {
"count": 4,
"id": "rtx-pro-6000-blackwell-96gb",
"memory_gb": 96,
"name": "RTX PRO 6000 Blackwell",
"total_memory_gb": 384,
"vendor": "nvidia"
} | nex-n2-pro-nvfp4-rtxpro6000-sglang-tp4-sweep | {
"hardware": "/api/v1/hardware/rtx-pro-6000-blackwell-96gb",
"model": "/api/v1/models/nex-n2-pro",
"recipe": "/api/v1/recipes/nex-n2-pro-nvfp4-rtxpro6000-sglang-tp4",
"speed_sweep": "/api/v1/speed-sweeps/nex-n2-pro-nvfp4-rtxpro6000-sglang-tp4-sweep"
} | 2026-06-11 | {
"best_ttft_ms": null,
"max_concurrency": 1,
"max_context_tokens": null,
"peak_decode_tok_s": 93.6,
"peak_decode_tok_s_per_stream": 93.6,
"peak_prefill_tok_s": null,
"peak_vram_gb": null,
"point_count": 4
} | {
"family": "nex",
"id": "nex-n2-pro",
"name": "Nex-N2-Pro"
} | {
"format": "ModelOpt",
"id": "local-nex-n2-pro-nvfp4--nvfp4",
"precision": "NVFP4",
"repository": "local/Nex-N2-Pro-NVFP4"
} | nex-n2-pro-nvfp4-rtxpro6000-sglang-tp4 | nex-n2-pro-nvfp4-rtxpro6000-sglang-tp4-sweep |
null | {
"name": "vllm",
"version": "v0.26.1rc1.dev668+g3ee2df303 (XPU)"
} | {
"count": 1,
"id": "intel-arc-pro-b70-32gb",
"memory_gb": 32,
"name": "Intel Arc Pro B70",
"total_memory_gb": 32,
"vendor": "intel"
} | nvidia-nemotron-3-5-gptq-int4-g64-sym-local-dflash-bf16-local-intel-arc-pro-b70-32gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/intel-arc-pro-b70-32gb",
"model": "/api/v1/models/nvidia-nemotron-3-5",
"recipe": "/api/v1/recipes/nvidia-nemotron-3-5-gptq-int4-g64-sym-local-dflash-bf16-local-intel-arc-pro-b70-32gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/nvidia-nemotron-3-5-gptq-int4-g64-sym-local-dfla... | 2026-08-13 | {
"best_ttft_ms": null,
"max_concurrency": 1,
"max_context_tokens": 16384,
"peak_decode_tok_s": 186.6,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": 7160,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "nemotron",
"id": "nvidia-nemotron-3-5",
"name": "NVIDIA-Nemotron-3.5"
} | {
"format": "safetensors",
"id": "nvidia-nvidia-nemotron-3-5-lightning-30b-a3b-bf16--gptq-int4-g64-sym-local-dflash-bf16-local",
"precision": "GPTQ-INT4-G64-sym-local+DFlash-BF16-local",
"repository": "nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16"
} | nvidia-nemotron-3-5-gptq-int4-g64-sym-local-dflash-bf16-local-intel-arc-pro-b70-32gb-vllm-tp1 | nvidia-nemotron-3-5-gptq-int4-g64-sym-local-dflash-bf16-local-intel-arc-pro-b70-32gb-vllm-tp1-sweep |
null | {
"name": "vllm",
"version": "v0.26.1rc1.dev668+g3ee2df303 (XPU)"
} | {
"count": 1,
"id": "intel-arc-pro-b70-32gb",
"memory_gb": 32,
"name": "Intel Arc Pro B70",
"total_memory_gb": 32,
"vendor": "intel"
} | nvidia-nemotron-3-5-gptq-int4-g64-sym-local-intel-arc-pro-b70-32gb-vllm-tp1-sweep | {
"hardware": "/api/v1/hardware/intel-arc-pro-b70-32gb",
"model": "/api/v1/models/nvidia-nemotron-3-5",
"recipe": "/api/v1/recipes/nvidia-nemotron-3-5-gptq-int4-g64-sym-local-intel-arc-pro-b70-32gb-vllm-tp1",
"speed_sweep": "/api/v1/speed-sweeps/nvidia-nemotron-3-5-gptq-int4-g64-sym-local-intel-arc-pro-b70-32gb... | 2026-08-12 | {
"best_ttft_ms": null,
"max_concurrency": 1,
"max_context_tokens": 16384,
"peak_decode_tok_s": 93,
"peak_decode_tok_s_per_stream": null,
"peak_prefill_tok_s": 8368,
"peak_vram_gb": null,
"point_count": 1
} | {
"family": "nemotron",
"id": "nvidia-nemotron-3-5",
"name": "NVIDIA-Nemotron-3.5"
} | {
"format": "safetensors",
"id": "nvidia-nvidia-nemotron-3-5-lightning-30b-a3b-bf16--gptq-int4-g64-sym-local",
"precision": "GPTQ-INT4-G64-sym-local",
"repository": "nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16"
} | nvidia-nemotron-3-5-gptq-int4-g64-sym-local-intel-arc-pro-b70-32gb-vllm-tp1 | nvidia-nemotron-3-5-gptq-int4-g64-sym-local-intel-arc-pro-b70-32gb-vllm-tp1-sweep |
End of preview. Expand in Data Studio
Local AI Registry
A source-backed graph of local AI hardware, models, model artifacts, launch recipes, regional prices, raw speed sweeps, and comparable benchmark summaries.
The GitHub monorepo is the source of truth. This dataset repository is a generated, versioned mirror for discovery, analysis, and use with the Hugging Face Datasets library. The live registry and read-only API resolve the same graph.
Tables
| Config | Primary key | Connects through |
|---|---|---|
hardware |
id |
Recipe hardware_id; price hardware[].id |
models |
id |
Model instance model_id |
model-instances |
id |
Recipe model_instance_id |
recipes |
id |
Hardware, model instance, and speed_sweeps_ids |
prices |
id |
Hardware IDs and regional observations |
speed-sweeps |
id |
Recipe recipe_id and raw measured rows |
benchmarks |
id |
A comparable projection of one raw speed sweep |
Benchmarks do not replace evidence. Each benchmark retains sweep_id, recipe_id, and links to the canonical records from which it was derived.
Use
from datasets import load_dataset
benchmarks = load_dataset(
"0xSero/local-ai-registry",
"benchmarks",
split="train",
)
Every configuration is independently loadable. The JSONL files preserve nested registry fields; null values are explicit unknowns rather than invented defaults.
Snapshot and schemas
source.jsonidentifies the Git commit and export timestamp.schema/contains the JSON Schemas and shared TypeScript interfaces.registry-snapshot.tar.gzcontains the exact recursive registry tree used to generate the tables.
Contributing
Follow the registry contribution contract. Contributions are validated and merged in GitHub, then exported here. Do not edit the generated Hugging Face tables as an alternate source of truth.
Provenance
Records carry their own source and provenance fields. Coverage varies by record. Candidate prices and recipes remain visibly marked, and benchmark summaries are only as authoritative as their attached raw sweep evidence.
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