{ "models": { "kimi-k2.7": { "layers_start": 0, "layers_end": 60, "hf_repo": "unsloth/Kimi-K2.7-Code", "aliases": [ "kimi-k2.7", "Kimi-K2.7-Code", "unsloth/Kimi-K2.7-Code" ], "recommended": true, "deployment_status": "recommended", "hf_aliases": [], "hf_verified_match_note": "Pending human curation (issue 23) \u2014 no HF inference-marketplace listing has been confirmed as a comparable params/quantization match for this preset yet. Leave empty until a human signs off; an empty hf_aliases list keeps this model on the static default price.", "required_model_bytes": 638876385280, "download_size_bytes": 638876385280, "native_quantization": "int4", "canonical_audit_dtype": "bfloat16", "canonical_audit_quantization": "bfloat16", "bytes_per_layer": { "int4": 10473383366 }, "metadata": { "architecture": "Mixture-of-Experts (MoE)", "total_parameters": "1T", "activated_parameters": "32B", "num_layers": 61, "context_length": 256000, "native_quantization": "int4", "canonical_audit_dtype": "bfloat16", "canonical_audit_quantization": "bfloat16", "download_size_gb": 595, "recommended_short_name": "kimi-k2.7", "recommended_engines": [ "vLLM", "SGLang", "KTransformers" ] } }, "qwen3.6-35b-a3b": { "layers_start": 0, "layers_end": 39, "hf_repo": "unsloth/Qwen3.6-35B-A3B", "aliases": [ "qwen3.6-35b-a3b", "Qwen3.6-35B-A3B", "unsloth/Qwen3.6-35B-A3B", "Qwen/Qwen3.6-35B-A3B" ], "recommended": true, "deployment_status": "recommended", "price_per_1k_tokens": 0.00044, "hf_aliases": [ "qwen/qwen3.6-35b-a3b" ], "hf_verified_match_note": "Verified 2026-07-06: unsloth/Qwen3.6-35B-A3B is a bf16 mirror of Qwen/Qwen3.6-35B-A3B; deepinfra and featherless-ai serve the official weights on the HF inference marketplace, so their rates are a fair comparable. Static price 0.00044 = 80% of deepinfra's blended $0.55/1M ($0.15 in / $0.95 out); the nightly refresher keeps it tracking.", "required_model_bytes": 71903776776, "download_size_bytes": 71903776776, "native_quantization": "bfloat16", "canonical_audit_dtype": "bfloat16", "canonical_audit_quantization": "bfloat16", "bytes_per_layer": { "bfloat16": 1797594419 }, "metadata": { "architecture": "Mixture-of-Experts (MoE, hybrid linear attention)", "total_parameters": "35B", "activated_parameters": "3B", "num_layers": 40, "context_length": 262144, "native_quantization": "bfloat16", "download_size_gb": 72 } } } }