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qwen2.5-7b_edited_object_counting_v2
l3-unc/qwen2.5-7b_edited_object_counting_v2
qwen2.5-7b_edited_object_counting_v2 is a text generation model from l3-unc. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This model is derived from Qwen/Qwen2.5-7B and has been edited using MEMIT for the objectcounting task from the Causal Diagnosticity dataset.
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- qwen2
- Access
- Public
- Created
- Aug 18, 2025
- Updated
- Aug 18, 2025
- SHA
- 92214754
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Model card
From the Hugging Face model README
Model Card for Model ID
This model is derived from Qwen/Qwen2.5-7B and has been edited using MEMIT for the object_counting task from the Causal Diagnosticity dataset.
Versioning
_v1→ The model is edited such that new knowledge is based ontarget_1from therelated_editsfield of each dataset item._v2→ The model is edited such that new knowledge is based ontarget_2from therelated_editsfield of each dataset item.
MEMIT Hyperparameters
alg_name: "MEMIT"
layers: [4, 5, 6, 7, 8]
clamp_norm_factor: 4
layer_selection: "all"
fact_token: "subject_last"
v_num_grad_steps: 25
v_lr: 5e-1
v_loss_layer: 27
v_weight_decay: 1e-3
kl_factor: 0.0625
mom2_adjustment: true
mom2_update_weight: 15000
rewrite_module_tmp: "model.layers.{}.mlp.down_proj"
layer_module_tmp: "model.layers.{}"
mlp_module_tmp: "model.layers.{}.mlp"
attn_module_tmp: "model.layers.{}.self_attn"
ln_f_module: "model.norm"
lm_head_module: "lm_head"
mom2_dataset: "wikipedia"
mom2_n_samples: 100000
mom2_dtype: "float32"
model_parallel: False
Additional Resources
For more information about the dataset, editing details, and the associated paper, see:
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- mit
- Languages
- en
- Created
- Aug 18, 2025
- Updated
- Aug 18, 2025