atomwalk12 commited on
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Training in progress, step 110

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Files changed (3) hide show
  1. README.md +4 -4
  2. adapter_config.json +6 -6
  3. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  base_model: unsloth/Qwen2.5-3B
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  library_name: transformers
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- model_name: LinalgZero-SFT-LoRA-110
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  tags:
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  - generated_from_trainer
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  - trl
@@ -10,7 +10,7 @@ tags:
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  licence: license
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  ---
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- # Model Card for LinalgZero-SFT-LoRA-110
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  This model is a fine-tuned version of [unsloth/Qwen2.5-3B](https://huggingface.co/unsloth/Qwen2.5-3B).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -21,14 +21,14 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
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  from transformers import pipeline
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  question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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- generator = pipeline("text-generation", model="atomwalk12/LinalgZero-SFT-LoRA-110", device="cuda")
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  output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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  print(output["generated_text"])
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  ```
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  ## Training procedure
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/walks/huggingface/runs/792qyuam)
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  This model was trained with SFT.
 
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  ---
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  base_model: unsloth/Qwen2.5-3B
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  library_name: transformers
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+ model_name: LinalgZero-SFT-LoRA
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  tags:
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  - generated_from_trainer
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  - trl
 
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  licence: license
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  ---
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+ # Model Card for LinalgZero-SFT-LoRA
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  This model is a fine-tuned version of [unsloth/Qwen2.5-3B](https://huggingface.co/unsloth/Qwen2.5-3B).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
 
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  from transformers import pipeline
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  question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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+ generator = pipeline("text-generation", model="atomwalk12/LinalgZero-SFT-LoRA", device="cuda")
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  output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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  print(output["generated_text"])
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  ```
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  ## Training procedure
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/walks/huggingface/runs/uiedinmd)
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  This model was trained with SFT.
adapter_config.json CHANGED
@@ -26,8 +26,8 @@
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  "megatron_config": null,
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  "megatron_core": "megatron.core",
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  "modules_to_save": [
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- "embed_tokens",
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- "lm_head"
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  ],
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  "peft_type": "LORA",
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  "peft_version": "0.18.0",
@@ -36,13 +36,13 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "gate_proj",
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- "q_proj",
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  "k_proj",
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  "o_proj",
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  "down_proj",
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- "up_proj",
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- "v_proj"
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  ],
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  "target_parameters": null,
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  "task_type": "CAUSAL_LM",
 
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  "megatron_config": null,
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  "megatron_core": "megatron.core",
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  "modules_to_save": [
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+ "lm_head",
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+ "embed_tokens"
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  ],
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  "peft_type": "LORA",
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  "peft_version": "0.18.0",
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "v_proj",
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+ "up_proj",
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  "k_proj",
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  "o_proj",
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  "down_proj",
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+ "gate_proj",
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+ "q_proj"
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  ],
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  "target_parameters": null,
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  "task_type": "CAUSAL_LM",
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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  size 1484196216
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:f72d883a1c3a4341e417fc1b68deddb63a663d0797f2c08a6e1d94b9b50ee7a0
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  size 1484196216