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README.md

@@ -1,9 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model:
-- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
-- Qwen/Qwen2.5-14B
+base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
 datasets:
 - anthracite-org/kalo-opus-instruct-22k-no-refusal
 - Nopm/Opus_WritingStruct
@@ -28,398 +26,6 @@ model-index:
 This model was converted to GGUF format from [`EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2`](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2) for more details on the model.
 
----
-Model details:
--
- A RP/storywriting specialist model, full-parameter finetune of Qwen2.5-14B on mixture of synthetic and natural data.
-It uses Celeste 70B 0.1 data mixture, greatly expanding it to improve versatility, creativity and "flavor" of the resulting model.
-
-Version notes for 0.2: Now using the refined dataset from 32B 0.2. Major improvements in coherence, instruction following and long-context comprehension over 14B v0.1.
-
-Prompt format is ChatML.
-
-Recommended sampler values:
-
-    Temperature: 0.8
-    Min-P: 0.05
-    Top-A: 0.3
-    Repetition Penalty: 1.03
-
-Recommended SillyTavern presets (via CalamitousFelicitousness):
-
-    Context
-    Instruct and System Prompt
-
-
-Training data:
-
-    Celeste 70B 0.1 data mixture minus Opus Instruct subset. See that model's card for details.
-    Kalomaze's Opus_Instruct_25k dataset, filtered for refusals.
-    A subset (1k rows) of ChatGPT-4o-WritingPrompts by Gryphe
-    A subset (2k rows) of Sonnet3.5-Charcards-Roleplay by Gryphe
-    Synthstruct and SynthRP datasets by Epiculous
-    A subset from Dolphin-2.9.3, including filtered version of not_samantha and a small subset of systemchat.
-
-Training time and hardware:
-
-    3 hours on 8xH100 SXM, provided by FeatherlessAI
-
-
-Model was created by Kearm, Auri and Cahvay.
-Special thanks:
-
-    to Cahvay for his work on investigating and reprocessing the corrupted dataset, removing the single biggest source of data poisoning.
-    to FeatherlessAI for generously providing 8xH100 SXM node for training of this model
-    to Gryphe, Lemmy, Kalomaze, Nopm, Epiculous and CogninitiveComputations for the data
-    and to Allura-org for support, feedback, beta-testing and doing quality control of EVA models.
-
-Built with Axolotl
-See axolotl config
-
-axolotl version: 0.4.1
-
-base_model: Qwen/Qwen2.5-14B
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_swiglu: true
-liger_fused_linear_cross_entropy: true
-
-# plugins:
-#   - axolotl.integrations.spectrum.SpectrumPlugin
-
-# spectrum_top_fraction: 0.5
-# # Optional if using a pre-scanned model as your base_model. Useful if using a model mirror
-# spectrum_model_name: Qwen/Qwen2.5-32B
-
-datasets:
-  - path: datasets/Celeste_Filtered_utf8fix.jsonl
-    type: sharegpt
-  - path: datasets/deduped_not_samantha_norefusals.jsonl
-    type: sharegpt
-  - path: datasets/deduped_SynthRP-Gens_processed_ShareGPT_converted_cleaned.jsonl
-    type: sharegpt
-  - path: datasets/deduped_Synthstruct-Gens_processed_sharegpt_converted_cleaned.jsonl
-    type: sharegpt
-  - path: datasets/Gryphe-4o-WP-filtered-sharegpt_utf8fix.jsonl
-    type: sharegpt
-  - path: datasets/opus-instruct-22k-no_refusals-filtered_utf8fix.jsonl
-    type: sharegpt
-  - path: datasets/Sonnet3-5-charcard-names-filtered-sharegpt_utf8fix.jsonl
-    type: sharegpt
-  - path: datasets/SystemChat_subset_filtered_sharegpt_utf8fix.jsonl
-    type: sharegpt
-
-chat_template: chatml
-shuffle_merged_datasets: true
-val_set_size: 0.001
-output_dir: ./EVA-Qwen2.5-14B-SFFT-v0.2
-
-sequence_len: 10240
-sample_packing: true
-eval_sample_packing: false
-pad_to_sequence_len: true
-
-# adapter: qlora
-# lora_model_dir:
-# lora_r: 64
-# lora_alpha: 128
-# lora_dropout: 0.05
-# lora_target_linear: true
-# peft_use_dora: true
-
-base_model: Qwen/Qwen2.5-14B
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_swiglu: true
-liger_fused_linear_cross_entropy: true
-
-datasets:
-  - path: datasets/Celeste_Filtered_utf8fix.jsonl
-    type: sharegpt
-  - path: datasets/deduped_not_samantha_norefusals.jsonl
-    type: sharegpt
-  - path: datasets/deduped_SynthRP-Gens_processed_ShareGPT_converted_cleaned.jsonl
-    type: sharegpt
-  - path: datasets/deduped_Synthstruct-Gens_processed_sharegpt_converted_cleaned.jsonl
-    type: sharegpt
-  - path: datasets/Gryphe-4o-WP-filtered-sharegpt_utf8fix.jsonl
-    type: sharegpt
-  - path: datasets/opus-instruct-22k-no_refusals-filtered_utf8fix.jsonl
-    type: sharegpt
-  - path: datasets/Sonnet3-5-charcard-names-filtered-sharegpt_utf8fix.jsonl
-    type: sharegpt
-  - path: datasets/SystemChat_subset_filtered_sharegpt_utf8fix.jsonl
-    type: sharegpt
-
-chat_template: chatml
-shuffle_merged_datasets: true
-val_set_size: 0.005
-output_dir: ./EVA-Qwen2.5-14B-SFFT-v0.2
-
-sequence_len: 10240
-sample_packing: true
-eval_sample_packing: false
-pad_to_sequence_len: true
-
-# adapter: qlora
-# lora_model_dir:
-# lora_r: 32
-# lora_alpha: 16
-# lora_dropout: 0.05
-# lora_target_linear: true
-# peft_use_dora: true
-
-unfrozen_parameters:
-- ^lm_head.weight$
-- ^model.embed_tokens.weight$
-# mlp.down_proj layers
-- model.layers.1.mlp.down_proj
-- model.layers.35.mlp.down_proj
-- model.layers.38.mlp.down_proj
-- model.layers.37.mlp.down_proj
-- model.layers.36.mlp.down_proj
-- model.layers.15.mlp.down_proj
-- model.layers.11.mlp.down_proj
-- model.layers.12.mlp.down_proj
-- model.layers.34.mlp.down_proj
-- model.layers.44.mlp.down_proj
-- model.layers.45.mlp.down_proj
-- model.layers.9.mlp.down_proj
-- model.layers.41.mlp.down_proj
-- model.layers.33.mlp.down_proj
-- model.layers.43.mlp.down_proj
-- model.layers.40.mlp.down_proj
-- model.layers.13.mlp.down_proj
-- model.layers.8.mlp.down_proj
-- model.layers.39.mlp.down_proj
-- model.layers.10.mlp.down_proj
-- model.layers.14.mlp.down_proj
-- model.layers.16.mlp.down_proj
-- model.layers.31.mlp.down_proj
-- model.layers.32.mlp.down_proj
-# mlp.gate_proj layers
-- model.layers.1.mlp.gate_proj
-- model.layers.44.mlp.gate_proj
-- model.layers.46.mlp.gate_proj
-- model.layers.45.mlp.gate_proj
-- model.layers.43.mlp.gate_proj
-- model.layers.47.mlp.gate_proj
-- model.layers.42.mlp.gate_proj
-- model.layers.32.mlp.gate_proj
-- model.layers.27.mlp.gate_proj
-- model.layers.33.mlp.gate_proj
-- model.layers.28.mlp.gate_proj
-- model.layers.39.mlp.gate_proj
-- model.layers.41.mlp.gate_proj
-- model.layers.40.mlp.gate_proj
-- model.layers.30.mlp.gate_proj
-- model.layers.29.mlp.gate_proj
-- model.layers.31.mlp.gate_proj
-- model.layers.37.mlp.gate_proj
-- model.layers.26.mlp.gate_proj
-- model.layers.10.mlp.gate_proj
-- model.layers.38.mlp.gate_proj
-- model.layers.36.mlp.gate_proj
-- model.layers.12.mlp.gate_proj
-- model.layers.13.mlp.gate_proj
-# mlp.up_proj layers
-- model.layers.1.mlp.up_proj
-- model.layers.13.mlp.up_proj
-- model.layers.11.mlp.up_proj
-- model.layers.14.mlp.up_proj
-- model.layers.15.mlp.up_proj
-- model.layers.12.mlp.up_proj
-- model.layers.8.mlp.up_proj
-- model.layers.16.mlp.up_proj
-- model.layers.9.mlp.up_proj
-- model.layers.19.mlp.up_proj
-- model.layers.10.mlp.up_proj
-- model.layers.7.mlp.up_proj
-- model.layers.17.mlp.up_proj
-- model.layers.20.mlp.up_proj
-- model.layers.21.mlp.up_proj
-- model.layers.18.mlp.up_proj
-- model.layers.37.mlp.up_proj
-- model.layers.38.mlp.up_proj
-- model.layers.39.mlp.up_proj
-- model.layers.42.mlp.up_proj
-- model.layers.41.mlp.up_proj
-- model.layers.27.mlp.up_proj
-- model.layers.28.mlp.up_proj
-- model.layers.36.mlp.up_proj
-# self_attn.k_proj layers
-- model.layers.47.self_attn.k_proj
-- model.layers.39.self_attn.k_proj
-- model.layers.41.self_attn.k_proj
-- model.layers.37.self_attn.k_proj
-- model.layers.35.self_attn.k_proj
-- model.layers.44.self_attn.k_proj
-- model.layers.38.self_attn.k_proj
-- model.layers.14.self_attn.k_proj
-- model.layers.7.self_attn.k_proj
-- model.layers.12.self_attn.k_proj
-- model.layers.11.self_attn.k_proj
-- model.layers.32.self_attn.k_proj
-- model.layers.10.self_attn.k_proj
-- model.layers.8.self_attn.k_proj
-- model.layers.6.self_attn.k_proj
-- model.layers.9.self_attn.k_proj
-- model.layers.45.self_attn.k_proj
-- model.layers.42.self_attn.k_proj
-- model.layers.40.self_attn.k_proj
-- model.layers.5.self_attn.k_proj
-- model.layers.0.self_attn.k_proj
-- model.layers.33.self_attn.k_proj
-- model.layers.34.self_attn.k_proj
-- model.layers.13.self_attn.k_proj
-# self_attn.o_proj layers
-- model.layers.12.self_attn.o_proj
-- model.layers.5.self_attn.o_proj
-- model.layers.14.self_attn.o_proj
-- model.layers.16.self_attn.o_proj
-- model.layers.20.self_attn.o_proj
-- model.layers.13.self_attn.o_proj
-- model.layers.11.self_attn.o_proj
-- model.layers.4.self_attn.o_proj
-- model.layers.6.self_attn.o_proj
-- model.layers.19.self_attn.o_proj
-- model.layers.7.self_attn.o_proj
-- model.layers.18.self_attn.o_proj
-- model.layers.8.self_attn.o_proj
-- model.layers.38.self_attn.o_proj
-- model.layers.15.self_attn.o_proj
-- model.layers.17.self_attn.o_proj
-- model.layers.9.self_attn.o_proj
-- model.layers.10.self_attn.o_proj
-- model.layers.21.self_attn.o_proj
-- model.layers.28.self_attn.o_proj
-- model.layers.32.self_attn.o_proj
-- model.layers.35.self_attn.o_proj
-- model.layers.39.self_attn.o_proj
-- model.layers.3.self_attn.o_proj
-# self_attn.q_proj layers
-- model.layers.1.self_attn.q_proj
-- model.layers.2.self_attn.q_proj
-- model.layers.3.self_attn.q_proj
-- model.layers.44.self_attn.q_proj
-- model.layers.29.self_attn.q_proj
-- model.layers.45.self_attn.q_proj
-- model.layers.43.self_attn.q_proj
-- model.layers.32.self_attn.q_proj
-- model.layers.38.self_attn.q_proj
-- model.layers.19.self_attn.q_proj
-- model.layers.42.self_attn.q_proj
-- model.layers.34.self_attn.q_proj
-- model.layers.36.self_attn.q_proj
-- model.layers.40.self_attn.q_proj
-- model.layers.26.self_attn.q_proj
-- model.layers.20.self_attn.q_proj
-- model.layers.28.self_attn.q_proj
-- model.layers.39.self_attn.q_proj
-- model.layers.41.self_attn.q_proj
-- model.layers.33.self_attn.q_proj
-- model.layers.35.self_attn.q_proj
-- model.layers.25.self_attn.q_proj
-- model.layers.30.self_attn.q_proj
-- model.layers.27.self_attn.q_proj
-# self_attn.v_proj layers
-- model.layers.0.self_attn.v_proj
-- model.layers.7.self_attn.v_proj
-- model.layers.39.self_attn.v_proj
-- model.layers.31.self_attn.v_proj
-- model.layers.15.self_attn.v_proj
-- model.layers.10.self_attn.v_proj
-- model.layers.41.self_attn.v_proj
-- model.layers.32.self_attn.v_proj
-- model.layers.6.self_attn.v_proj
-- model.layers.33.self_attn.v_proj
-- model.layers.42.self_attn.v_proj
-- model.layers.29.self_attn.v_proj
-- model.layers.9.self_attn.v_proj
-- model.layers.14.self_attn.v_proj
-- model.layers.35.self_attn.v_proj
-- model.layers.38.self_attn.v_proj
-- model.layers.13.self_attn.v_proj
-- model.layers.30.self_attn.v_proj
-- model.layers.34.self_attn.v_proj
-- model.layers.5.self_attn.v_proj
-- model.layers.28.self_attn.v_proj
-- model.layers.37.self_attn.v_proj
-- model.layers.27.self_attn.v_proj
-- model.layers.11.self_attn.v_proj
-
-wandb_project: EVA-Qwen2.5-14B-SFFT-v0.2
-wandb_entity:
-wandb_watch:
-wandb_name: Unit-02
-wandb_log_model:
-
-gradient_accumulation_steps: 8
-micro_batch_size: 2
-num_epochs: 3
-optimizer: paged_ademamix_8bit
-lr_scheduler: cosine
-learning_rate: 0.00005
-max_grad_norm: 3
-
-train_on_inputs: false
-group_by_length: false
-bf16: auto
-fp16:
-tf32: false
-
-gradient_checkpointing: "unsloth"
-# gradient_checkpointing_kwargs:
-#   use_reentrant: true
-early_stopping_patience:
-resume_from_checkpoint: 
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-
-warmup_steps: 20
-evals_per_epoch: 4
-saves_per_epoch: 4
-save_safetensors: true
-hub_model_id: 
-hub_strategy: 
-debug:
-deepspeed: deepspeed_configs/zero3_bf16.json
-weight_decay: 0.1
-# fsdp:
-#   - full_shard
-#   - auto_wrap
-# fsdp_config:
-#   fsdp_limit_all_gathers: true
-#   fsdp_sync_module_states: false
-#   fsdp_offload_params: true
-#   fsdp_cpu_ram_efficient_loading: true
-#   fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
-#   fsdp_transformer_layer_cls_to_wrap: Qwen2DecoderLayer
-#   fsdp_activation_checkpointing: true
-#   fsdp_state_dict_type: SHARDED_STATE_DICT  # Changed from FULL_STATE_DICT
-#   fsdp_sharding_strategy: FULL_SHARD
-#   fsdp_forward_prefetch: false  # Added
-#   fsdp_backward_prefetch: "BACKWARD_PRE"  # Added
-#   fsdp_backward_prefetch_limit: 1  # Added
-#   fsdp_mixed_precision: BF16  # Added
-
----
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)
 
@@ -458,4 +64,4 @@ Step 3: Run inference through the main binary.
 or 
 ```
 ./llama-server --hf-repo Triangle104/EVA-Qwen2.5-14B-v0.2-Q6_K-GGUF --hf-file eva-qwen2.5-14b-v0.2-q6_k.gguf -c 2048
-```
+```