初始化项目，由ModelHub XC社区提供模型

Model: BeaverAI/Cream-Phi-3-14B-v1a
Source: Original Platform

README.md

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+tldr; This is Phi 3 Medium finetuned for (mainly SFW) roleplaying.
+
+It was a promising release candidate that fell flat when things got moist.
+
+I'm publishing all the details for anyone else interested in finetuning Phi 3.
+
+Training Details:
+- 8x H100 80GB SXM GPUs
+- 1 hour training time
+
+Results for Roleplay Mode (i.e., not Instruct format):
+- Strong RP formatting.
+- Tends to output short, straightforward replies to the player character.
+- Starts to break down when things get moist.
+- Important: My testing is lazy and flawed. Take it with a grain of salt and test the GGUFs before taking notes.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f2fd1c25b848bd061b5c2e/WxdrI9dDHm4nuFHAe8FzZ.png)
+
+Axolotl Config (some fields omitted)
+```yaml
+base_model: failspy/Phi-3-medium-4k-instruct-abliterated-v3
+load_in_4bit: true
+bf16: auto
+fp16:
+tf32: false
+flash_attention: true
+
+sequence_len: 4096
+datasets:
+  - path: Undi95/andrijdavid_roleplay-conversation-sharegpt
+    type: customphi3
+
+num_epochs: 2
+warmup_steps: 30
+weight_decay: 0.1
+
+adapter: lora
+lora_r: 128
+lora_alpha: 16
+lora_dropout: 0.1
+lora_target_linear: true
+
+gradient_accumulation_steps: 2
+micro_batch_size: 2
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+   use_reentrant: true
+
+sample_packing: true
+pad_to_sequence_len: true
+
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.0001
+max_grad_norm: 1.0
+
+val_set_size: 0.01
+evals_per_epoch: 3
+eval_max_new_tokens: 128
+eval_batch_size: 1
+```