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SmolVLM2-256M-Video-Instruct-ternary

Image-Text-to-Text
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ternary-quant
quantization
ternary
vlm
multimodal
video
edge
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  1. README.md +37 -0
  2. broad_generative_report.json +151 -0
  3. metadata.json +0 -0
  4. tritplane/model_text_model_layers_0_self_attn_k_proj.npz +3 -0
  5. tritplane/model_text_model_layers_10_mlp_down_proj.npz +3 -0
  6. tritplane/model_text_model_layers_10_mlp_up_proj.npz +3 -0
  7. tritplane/model_text_model_layers_10_self_attn_k_proj.npz +3 -0
  8. tritplane/model_text_model_layers_10_self_attn_q_proj.npz +3 -0
  9. tritplane/model_text_model_layers_13_self_attn_q_proj.npz +3 -0
  10. tritplane/model_text_model_layers_15_self_attn_k_proj.npz +3 -0
  11. tritplane/model_text_model_layers_15_self_attn_q_proj.npz +3 -0
  12. tritplane/model_text_model_layers_16_self_attn_q_proj.npz +3 -0
  13. tritplane/model_text_model_layers_17_mlp_gate_proj.npz +3 -0
  14. tritplane/model_text_model_layers_17_mlp_up_proj.npz +3 -0
  15. tritplane/model_text_model_layers_18_mlp_down_proj.npz +3 -0
  16. tritplane/model_text_model_layers_18_self_attn_v_proj.npz +3 -0
  17. tritplane/model_text_model_layers_19_mlp_down_proj.npz +3 -0
  18. tritplane/model_text_model_layers_19_self_attn_k_proj.npz +3 -0
  19. tritplane/model_text_model_layers_19_self_attn_o_proj.npz +3 -0
  20. tritplane/model_text_model_layers_19_self_attn_q_proj.npz +3 -0
  21. tritplane/model_text_model_layers_20_self_attn_v_proj.npz +3 -0
  22. tritplane/model_text_model_layers_21_self_attn_k_proj.npz +3 -0
  23. tritplane/model_text_model_layers_21_self_attn_o_proj.npz +3 -0
  24. tritplane/model_text_model_layers_21_self_attn_q_proj.npz +3 -0
  25. tritplane/model_text_model_layers_22_mlp_up_proj.npz +3 -0
  26. tritplane/model_text_model_layers_22_self_attn_k_proj.npz +3 -0
  27. tritplane/model_text_model_layers_23_mlp_gate_proj.npz +3 -0
  28. tritplane/model_text_model_layers_24_mlp_down_proj.npz +3 -0
  29. tritplane/model_text_model_layers_24_self_attn_k_proj.npz +3 -0
  30. tritplane/model_text_model_layers_24_self_attn_o_proj.npz +3 -0
  31. tritplane/model_text_model_layers_24_self_attn_q_proj.npz +3 -0
  32. tritplane/model_text_model_layers_25_self_attn_v_proj.npz +3 -0
  33. tritplane/model_text_model_layers_27_self_attn_k_proj.npz +3 -0
  34. tritplane/model_text_model_layers_28_mlp_down_proj.npz +3 -0
  35. tritplane/model_text_model_layers_28_self_attn_k_proj.npz +3 -0
  36. tritplane/model_text_model_layers_28_self_attn_q_proj.npz +3 -0
  37. tritplane/model_text_model_layers_2_mlp_down_proj.npz +3 -0
  38. tritplane/model_text_model_layers_2_self_attn_v_proj.npz +3 -0
  39. tritplane/model_text_model_layers_3_mlp_up_proj.npz +3 -0
  40. tritplane/model_text_model_layers_3_self_attn_o_proj.npz +3 -0
  41. tritplane/model_text_model_layers_3_self_attn_q_proj.npz +3 -0
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  45. tritplane/model_text_model_layers_6_self_attn_q_proj.npz +3 -0
  46. tritplane/model_text_model_layers_7_self_attn_v_proj.npz +3 -0
  47. tritplane/model_text_model_layers_8_self_attn_v_proj.npz +3 -0
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  49. tritplane/model_text_model_layers_9_mlp_up_proj.npz +3 -0
  50. tritplane/model_text_model_layers_9_self_attn_o_proj.npz +3 -0
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ library_name: transformers
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+ tags:
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+ - ternary-quant
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+ - quantization
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+ - ternary
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+ - vlm
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+ - multimodal
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+ - video
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+ - edge
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+ - smolvlm
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+ base_model: HuggingFaceTB/SmolVLM2-256M-Video-Instruct
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+ pipeline_tag: image-text-to-text
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+ license: apache-2.0
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+ quantized_by: AsadIsmail
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+ ---
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+
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+ # SmolVLM2-256M-Video-Instruct — Ternary Quantized (tritplane3)
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+
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+ **Ternary-quantized version** of [HuggingFaceTB/SmolVLM2-256M-Video-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM2-256M-Video-Instruct) — the smallest video-understanding VLM, now even smaller. Ideal for edge deployment.
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+
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+ ## Specifications
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+
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+ | Property | Value |
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+ |---|---|
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+ | **Base Model** | [HuggingFaceTB/SmolVLM2-256M-Video-Instruct](https://huggingface.co/HuggingFaceTB/SmolVLM2-256M-Video-Instruct) |
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+ | **Parameters** | 256M |
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+ | **Quantization** | tritplane3 (211 linear layers) |
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+ | **Full-model effective bits** | 12.91 |
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+ | **Compression ratio** | 1.24× |
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+ | **Avg reconstruction error** | 0.1488 |
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+
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+ ## Collection
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+
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+ Part of [ternary-models](https://huggingface.co/collections/AsadIsmail/ternary-models-vlms-multimodal-and-audio-69df85ff0b776624d6645d2a).
broad_generative_report.json ADDED
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+ {
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+ "method": "Broad-tritplane3",
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+ "model": "HuggingFaceTB/SmolVLM2-256M-Video-Instruct",
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+ "model_info": {
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+ "model_name": "HuggingFaceTB/SmolVLM2-256M-Video-Instruct",
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+ "model_family": "image_text_to_text",
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+ "model_type": "smolvlm",
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+ "architectures": [
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+ "SmolVLMForConditionalGeneration"
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+ ],
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+ "asset_kind": "processor",
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+ "components": [
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+ {
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+ "name": "text_backbone",
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+ "path": "model.text_model.layers",
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+ "kind": "decoder_stack",
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+ "module_type": "ModuleList",
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+ "parameter_count": 106202880,
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+ "linear_like_count": 210,
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+ "sample_linear_like_names": [
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+ "0.self_attn.q_proj",
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+ "0.self_attn.k_proj",
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+ "0.self_attn.v_proj",
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+ "0.self_attn.o_proj",
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+ "0.mlp.gate_proj",
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+ "0.mlp.up_proj",
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+ "0.mlp.down_proj",
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+ "1.self_attn.q_proj"
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+ ]
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+ },
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+ {
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+ "name": "multimodal_connector",
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+ "path": "model.connector",
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+ "kind": "projector",
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+ "module_type": "SmolVLMConnector",
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+ "parameter_count": 7077888,
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+ "linear_like_count": 1,
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+ "sample_linear_like_names": [
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+ "modality_projection.proj"
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+ ]
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+ },
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+ {
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+ "name": "vision_backbone",
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+ "path": "model.vision_model.encoder.layers",
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+ "kind": "vision_stack",
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+ "module_type": "ModuleList",
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+ "parameter_count": 85054464,
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+ "linear_like_count": 72,
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+ "sample_linear_like_names": [
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+ "0.self_attn.k_proj",
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+ "0.self_attn.v_proj",
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+ "0.self_attn.q_proj",
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+ "0.self_attn.out_proj",
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+ "0.mlp.fc1",
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+ "0.mlp.fc2",
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+ "1.self_attn.k_proj",
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+ "1.self_attn.v_proj"
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+ ]
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+ },
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+ {
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+ "name": "lm_head",
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+ "path": "lm_head",
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+ "kind": "lm_head",
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+ "module_type": "Linear",
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+ "parameter_count": 28385280,
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+ "linear_like_count": 1,
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+ "sample_linear_like_names": [
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+ ""
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+ ]
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+ }
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+ ],
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+ "default_quantization_components": [
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+ "text_backbone",
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+ "multimodal_connector"
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+ ]
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+ },
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+ "config": {
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+ "components": [
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+ "text_backbone",
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+ "multimodal_connector"
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+ ],
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+ "scheme": "tritplane3",
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+ "group_size": 32,
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+ "n_iter": 10,
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+ "salient_fraction": 0.0,
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+ "n_planes": 3,
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+ "allow_all_linear": false,
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+ "target_module_names": [
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+ "Wqkv",
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+ "att_proj",
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+ "attn.proj",
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+ "attn.qkv",
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+ "c_attn",
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+ "c_fc",
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+ "c_proj",
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+ "dense",
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+ "dense_4h_to_h",
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+ "dense_h_to_4h",
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+ "down_proj",
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+ "fc1",
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+ "fc2",
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+ "ff_proj",
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+ "gate_proj",
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+ "gate_up_proj",
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+ "k",
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+ "k_proj",
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+ "linear",
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+ "o",
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+ "o_proj",
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+ "out_proj",
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+ "per_layer_input_gate",
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+ "per_layer_projection",
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+ "proj",
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+ "q",
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+ "q_proj",
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+ "qkv",
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+ "qkv_proj",
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+ "query_key_value",
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+ "up_proj",
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+ "v",
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+ "w1",
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+ "w2",
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+ "w3",
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+ "wi",
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+ "wi_0",
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+ "wi_1",
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+ "wo"
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+ ],
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+ "max_length": 160,
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+ "calibration_batch_size": 2,
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+ "calibration_prompts": null,
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+ "vlm_use_demo_image": true
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+ },
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+ "summary": {
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+ "method_name": "Broad-tritplane3",
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+ "model_family": "image_text_to_text",
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+ "selected_components": [
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+ "text_backbone",
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+ "quantized_modules": 211,
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+ "quantized_params": 113246208,
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+ "avg_relative_error": 0.1487850632142753,
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+ "avg_effective_bits": 9.0,
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+ "full_model_effective_bits": 12.909278599013819,
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+ "compression_ratio": 1.2394185993648237
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+ }
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+ }
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