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adapter/.gitattributes

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+*.bz2 filter=lfs diff=lfs merge=lfs -text
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adapter/README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: allura-org/Teleut-7b
+tags:
+- generated_from_trainer
+datasets:
+- Fizzarolli/inkmix-v2
+model-index:
+- name: ckpts
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.6.0`
+```yaml
+base_model: allura-org/Teleut-7b
+
+load_in_8bit: true
+load_in_4bit: false
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+
+#unsloth_lora_mlp: true
+#unsloth_lora_qkv: true
+#unsloth_lora_o: true
+
+strict: false
+
+adapter: lora
+lora_r: 16
+lora_alpha: 32
+lora_dropout: 0.25
+lora_target_modules:
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+lora_target_linear: true
+peft_layers_to_transform:
+loraplus_lr_ratio: 16
+
+chat_template: tokenizer_default
+datasets:
+  - path: Fizzarolli/inkmix-v2
+    type: chat_template
+    chat_template: tokenizer_default
+    split: train
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+
+dataset_prepared_path: last_run_prepared
+#val_set_size: 0.02
+output_dir: ./ckpts
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+#wandb_project: teleut-7b-rp
+#wandb_entity:
+#wandb_watch:
+#wandb_name:
+#wandb_log_model: checkpoint
+
+# mlflow configuration if you're using it
+mlflow_tracking_uri: https://public-tracking.mlflow-e00zzfjq11ky6jcgtv.backbone-e00bgn6e63256prmhq.msp.eu-north1.nebius.cloud
+mlflow_experiment_name: teleut-7b-rp-inkmixv2
+mlflow_run_name: v1
+hf_mlflow_log_artifacts: true
+
+gradient_accumulation_steps: 1
+micro_batch_size: 12
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 6e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: unsloth
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+#deepspeed: deepspeed_configs/zero3_bf16.json
+
+warmup_steps: 25
+#evals_per_epoch: 4
+eval_table_size:
+saves_per_epoch: 10
+debug:
+weight_decay: 0.01
+
+```
+
+</details><br>
+
+# ckpts
+
+This model is a fine-tuned version of [allura-org/Teleut-7b](https://huggingface.co/allura-org/Teleut-7b) on the Fizzarolli/inkmix-v2 dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 6e-05
+- train_batch_size: 12
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 25
+- num_epochs: 2
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.21.0

adapter/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "allura-org/Teleut-7b",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.25,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "v_proj",
+    "gate_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter/adapter_model.bin

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adapter/added_tokens.json

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adapter/config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "allura-org/Teleut-7b",
+  "architectures": [
+    "Qwen2ForCausalLM"
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+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
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+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "fp4",
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
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+  "use_cache": false,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

adapter/special_tokens_map.json

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+  }
+}

adapter/tokenizer.json

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adapter/tokenizer_config.json

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+}