neuron-tai/packages/tracker/meshnet_tracker/model_presets.json

{
  "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"
        ]
      }
    },
    "qwen2.5-0.5b-instruct": {
      "layers_start": 0,
      "layers_end": 23,
      "hf_repo": "Qwen/Qwen2.5-0.5B-Instruct",
      "aliases": [
        "qwen2.5-0.5b",
        "Qwen2.5-0.5B-Instruct",
        "Qwen/Qwen2.5-0.5B-Instruct"
      ],
      "deployment_status": "supported",
      "price_per_1k_tokens": 0.002,
      "input_price_per_1k_tokens": 0.002,
      "output_price_per_1k_tokens": 0.002,
      "hf_aliases": [],
      "hf_verified_match_note": "Static 10× dev-funding markup over ~$0.20/1M commercial API reference (Qwen-class hosted rates). $0.002/1k = $2/1M blended input+output.",
      "required_model_bytes": 1056964608,
      "download_size_bytes": 1056964608,
      "native_quantization": "bfloat16",
      "canonical_audit_dtype": "bfloat16",
      "canonical_audit_quantization": "bfloat16",
      "bytes_per_layer": {
        "bfloat16": 44040192
      },
      "metadata": {
        "architecture": "Dense transformer (GQA)",
        "total_parameters": "0.5B",
        "num_layers": 24,
        "context_length": 32768,
        "native_quantization": "bfloat16",
        "download_size_gb": 1
      }
    },
    "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. Rates are 80% of deepinfra: input 0.00012/1k ($0.15/1M), output 0.00076/1k ($0.95/1M); price_per_1k_tokens keeps the blended 0.00044 for display/back-compat. The nightly refresher tracks both sides.",
      "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
      },
      "input_price_per_1k_tokens": 0.00012,
      "output_price_per_1k_tokens": 0.00076
    },
    "qwen3.6-27b": {
      "layers_start": 0,
      "layers_end": 63,
      "hf_repo": "Qwen/Qwen3.6-27B",
      "revision": "6a9e13bd6fc8f0983b9b99948120bc37f49c13e9",
      "aliases": [
        "qwen3.6-27b",
        "Qwen3.6-27B",
        "Qwen/Qwen3.6-27B"
      ],
      "recommended": true,
      "deployment_status": "recommended",
      "price_per_1k_tokens": 0.0006,
      "hf_aliases": [
        "qwen/qwen3.6-27b"
      ],
      "hf_verified_match_note": "Pinned to the official Qwen/Qwen3.6-27B BF16 revision. Live comparable-provider pricing refreshes this fallback when available; the last verified rate is retained when the provider lookup is unavailable.",
      "required_model_bytes": 55576522126,
      "download_size_bytes": 55576522126,
      "native_quantization": "bfloat16",
      "canonical_audit_dtype": "bfloat16",
      "canonical_audit_quantization": "bfloat16",
      "bytes_per_layer": {
        "bfloat16": 868383159,
        "int8": 434191580,
        "nf4": 217095790
      },
      "metadata": {
        "architecture": "Qwen3.5 hybrid linear-attention transformer",
        "total_parameters": "27B",
        "num_layers": 64,
        "context_length": 262144,
        "native_quantization": "bfloat16",
        "download_size_gb": 52,
        "recommended_short_name": "qwen3.6-27b",
        "text_only": true,
        "recommended_engines": [
          "Transformers",
          "vLLM",
          "SGLang"
        ]
      },
      "input_price_per_1k_tokens": 0.0002,
      "output_price_per_1k_tokens": 0.001
    }
  }
}