Delete README.md

README.md

@@ -1,166 +0,0 @@
----
-License: apache-2.0
-Language:
-- En
-Pipeline_tag: text-generation
-Base_model: nvidia/Llama-3.1-Minitron-4 B-Width-Base
-Tags:
-- Chat
-license: agpl-3.0
-datasets:
-- anthracite-org/kalo-opus-instruct-22k-no-refusal
-- PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
-- NewEden/Gryphe-3.5-16k-Subset
-- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
-tags:
-- chat
----
-
-![image/png](https://huggingface.co/Edens-Gate/Testing123/resolve/main/oie_gM9EsNXjMDsT.jpg?download=true)
-A model made to continue off my previous work on [Magnum 4B](https://huggingface.co/anthracite-org/magnum-v2-4b), A small model made for creative writing / General assistant tasks, finetuned ontop of [IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml](https://huggingface.co/IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml), this model is made to be more coherent and generally be better then the 4B at both writing and assistant tasks. 
-
-## Prompting
-Model has been Instruct tuned with the ChatML formatting. A typical input would look like this:
-
-```py
-"""<|im_start|>system
-system prompt<|im_end|>
-<|im_start|>user
-Hi there!<|im_end|>
-<|im_start|>assistant
-Nice to meet you!<|im_end|>
-<|im_start|>user
-Can I ask a question?<|im_end|>
-<|im_start|>assistant
-"""
-```
-
-## Support
-
-To run inference on this model, you'll need to use Aphrodite, vLLM or EXL 2/tabbyAPI, as llama.cpp hasn't yet merged the required pull request to fix the llama 3.1 rope_freqs issue with custom head dimensions. 
-
-However, you can work around this by quantizing the model yourself to create a functional GGUF file. Note that until [this PR](https://github.com/ggerganov/llama.cpp/pull/9141) is merged, the context will be limited to 8 k tokens.
-
-To create a working GGUF file, make the following adjustments:
-
-1. Remove the `"rope_scaling": {}` entry from `config.json`
-2. Change `"max_position_embeddings"` to `8192` in `config.json`
-
-These modifications should allow you to use the model with llama. Cpp, albeit with the mentioned context limitation.
-
-## Axolotl config
-
-<details><summary>See axolotl config</summary>
-
-Axolotl version: `0.4.1`
-```yaml
-base_model: IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-datasets:
-  - path: NewEden/Gryphe-3.5-16k-Subset
-    type: sharegpt
-    conversation: chatml
-  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
-    type: sharegpt
-    conversation: chatml
-  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
-    type: sharegpt
-    conversation: chatml
-  - path: PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
-    type: sharegpt
-    conversation: chatml
-
-chat_template: chatml
-
-val_set_size: 0.01
-output_dir: ./outputs/out
-
-adapter:
-lora_r:
-lora_alpha:
-lora_dropout:
-lora_target_linear:
-
-sequence_len: 16384
-# sequence_len: 32768
-sample_packing: true
-eval_sample_packing: false
-pad_to_sequence_len: true
-
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_swiglu: true
-liger_fused_linear_cross_entropy: true
-
-wandb_project: 
-wandb_entity:
-wandb_watch:
-wandb_name: 
-wandb_log_model:
-
-gradient_accumulation_steps: 32
-micro_batch_size: 1
-num_epochs: 2
-optimizer: adamw_bnb_8bit
-#optimizer: paged_adamw_8bit
-lr_scheduler: cosine
-learning_rate: 0.00002
-weight_decay: 0.05
-
-train_on_inputs: false
-group_by_length: false
-bf16: auto
-fp16:
-tf32: true
-
-gradient_checkpointing: true
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-
-warmup_ratio: 0.1
-evals_per_epoch: 4
-eval_table_size:
-eval_max_new_tokens: 128
-saves_per_epoch: 1
-
-debug:
-deepspeed: /workspace/axolotl/deepspeed_configs/zero2.json
-#deepspeed:
-fsdp:
-fsdp_config:
-
-special_tokens:
-  pad_token: <|finetune_right_pad_id|>
-
-```
-
-</details><br>
-
-## Credits
-
-- [anthracite-org/kalo-opus-instruct-22k-no-refusal](https://huggingface.co/datasets/anthracite-org/kalo-opus-instruct-22k-no-refusal)
-- [NewEden/Gryphe-3.5-16k-Subset](https://huggingface.co/datasets/NewEden/Gryphe-3.5-16k-Subset) 
-- [Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned](https://huggingface.co/datasets/Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned)
-- [lodrick-the-lafted/OpusStories](https://huggingface.co/datasets/lodrick-the-lafted/OpusStories)
-
-I couldn't have made this model without the help of [Kubernetes_bad](https://huggingface.co/kubernetes-bad) and the support of [Lucy Knada](https://huggingface.co/lucyknada) 
-
-## Training
-The training was done for 2 epochs. We used  2 x [RTX 6000s](https://store.nvidia.com/en-us/nvidia-rtx/products/nvidia-rtx-6000-ada-generation/) GPUs graciously provided by [Kubernetes_Bad](https://huggingface.co/kubernetes-bad) for the full-parameter fine-tuning of the model. 
-
-[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
-
-## Safety
-...