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JEV-9B

Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
system-one
system-two
blocks-of-experts
typed-decisions
decision-model
calibrated-probabilities
knowledge-distillation
jev
noul
choice
score
lora
qwen3_5
dual-head
vllm
multimodal
vision
computer-use
robotics
Eval Results (legacy)
Model card Files
xet
 Community
2
JEV-9B
File size: 2,292 Bytes
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{
  "transformers_version": "5.16.1",
  "architectures": [
    "Qwen3_5ForCausalLM"
  ],
  "output_hidden_states": false,
  "return_dict": true,
  "dtype": "bfloat16",
  "chunk_size_feed_forward": 0,
  "is_encoder_decoder": false,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1"
  },
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1
  },
  "problem_type": null,
  "vocab_size": 248320,
  "hidden_size": 4096,
  "intermediate_size": 12288,
  "num_hidden_layers": 32,
  "num_attention_heads": 16,
  "num_key_value_heads": 4,
  "hidden_act": "silu",
  "max_position_embeddings": 262144,
  "initializer_range": 0.02,
  "rms_norm_eps": 1e-06,
  "use_cache": true,
  "tie_word_embeddings": false,
  "rope_parameters": {
    "mrope_interleaved": true,
    "mrope_section": [
      11,
      11,
      10
    ],
    "rope_type": "default",
    "rope_theta": 10000000,
    "partial_rotary_factor": 0.25
  },
  "attention_bias": false,
  "attention_dropout": 0.0,
  "head_dim": 256,
  "linear_conv_kernel_dim": 4,
  "linear_key_head_dim": 128,
  "linear_value_head_dim": 128,
  "linear_num_key_heads": 16,
  "linear_num_value_heads": 32,
  "layer_types": [
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention"
  ],
  "pad_token_id": null,
  "bos_token_id": null,
  "eos_token_id": 248044,
  "_name_or_path": "",
  "attn_output_gate": true,
  "full_attention_interval": 4,
  "mlp_only_layers": [],
  "model_type": "qwen3_5_text",
  "mtp_num_hidden_layers": 1,
  "mtp_use_dedicated_embeddings": false,
  "mamba_ssm_dtype": "float32",
  "partial_rotary_factor": 0.25,
  "output_attentions": false
}