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README.md

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+
+---
+
+license: agpl-3.0
+tags:
+- chat
+datasets:
+- NewEden/Claude-Instruct-5K
+- anthracite-org/kalo-opus-instruct-22k-no-refusal
+- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
+- lodrick-the-lafted/kalo-opus-instruct-3k-filtered
+- anthracite-org/nopm_claude_writing_fixed
+- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
+- anthracite-org/kalo_opus_misc_240827
+- anthracite-org/kalo_misc_part2
+License: agpl-3.0
+Language:
+- En
+Pipeline_tag: text-generation
+Base_model: google/gemma-2-9b
+Tags:
+- Chat
+model-index:
+- name: Odin-9B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 36.92
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Odin-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 34.83
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Odin-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 12.54
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Odin-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 12.19
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Odin-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 17.56
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Odin-9B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 33.85
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Odin-9B
+      name: Open LLM Leaderboard
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/Odin-9B-GGUF
+This is quantized version of [Delta-Vector/Odin-9B](https://huggingface.co/Delta-Vector/Odin-9B) created using llama.cpp
+
+# Original Model Card
+
+
+![](https://huggingface.co/Delta-Vector/Odin-9B/resolve/main/FinalOdin9B.jpg)
+
+
+A earlier checkpoint of an unreleased (for now) model, using the same configuration as [Tor-8B](https://huggingface.co/Delta-Vector/Tor-8B) / [Darkens-8B](https://huggingface.co/Delta-Vector/Darkens-8B) but on Gemma rather then Nemo-8B, A finetune made for creative writing and roleplay tasks, Finetuned ontop of the base Gemma2 9B model, I trained the model for 4 epochs, with the 4 epoch checkpoint becoming the a future model for some other people and the 2 epoch checkpoint becoming my own personal release. This model aims to have good prose and writing while not as `Suggestive` as Magnum models usually are, along with keeping some of the intelligence that was nice to have with the Gemma2 family.
+
+# Quants 
+
+GGUF: https://huggingface.co/Delta-Vector/Odin-9B-GGUF
+
+EXL2: https://huggingface.co/Delta-Vector/Odin-9B-EXL2
+
+
+## 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
+"""
+```
+## System Prompting
+
+I would highly recommend using Sao10k's Euryale System prompt, But the "Roleplay Simple" system prompt provided within SillyTavern will work aswell. Also Use `0.02 minp` for the models, The model may act dumb or otherwise stupid without it.
+
+```
+Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.
+
+<Guidelines>
+• Maintain the character persona but allow it to evolve with the story.
+• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.
+• All types of outputs are encouraged; respond accordingly to the narrative.
+• Include dialogues, actions, and thoughts in each response.
+• Utilize all five senses to describe scenarios within {{char}}'s dialogue.
+• Use emotional symbols such as "!" and "~" in appropriate contexts.
+• Incorporate onomatopoeia when suitable.
+• Allow time for {{user}} to respond with their own input, respecting their agency.
+• Act as secondary characters and NPCs as needed, and remove them when appropriate.
+• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.
+</Guidelines>
+
+<Forbidden>
+• Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona.
+• Writing for, speaking, thinking, acting, or replying as {{user}} in your response.
+• Repetitive and monotonous outputs.
+• Positivity bias in your replies.
+• Being overly extreme or NSFW when the narrative context is inappropriate.
+</Forbidden>
+
+Follow the instructions in <Guidelines></Guidelines>, avoiding the items listed in <Forbidden></Forbidden>.
+
+```
+
+
+## Axolotl config
+
+<details><summary>See axolotl config</summary>
+
+Axolotl version: `0.4.1`
+```yaml
+base_model: /workspace/data/gemma-2-9b-chatml
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: false
+liger_rms_norm: false
+liger_swiglu: true
+liger_cross_entropy: true
+liger_fused_linear_cross_entropy: false
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: [PRIVATE CLAUDE LOG FILTER]
+    type: sharegpt
+    conversation: chatml
+  - path: NewEden/Claude-Instruct-5K
+    type: sharegpt
+    conversation: chatml  
+  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
+    type: sharegpt
+    conversation: chatml
+  - path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
+    type: sharegpt
+    conversation: chatml
+  - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/nopm_claude_writing_fixed
+    type: sharegpt
+    conversation: chatml
+  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/kalo_opus_misc_240827
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/kalo_misc_part2
+    type: sharegpt
+    conversation: chatml
+chat_template: chatml
+shuffle_merged_datasets: false
+default_system_message: "You are a helpful assistant that responds to the user."
+dataset_prepared_path: /workspace/data/9b-fft-data
+val_set_size: 0.0
+output_dir: /workspace/data/9b-fft-out
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+adapter:
+lora_model_dir:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+lora_fan_in_fan_out:
+
+wandb_project: 9b-Nemo-config-fft
+wandb_entity:
+wandb_watch:
+wandb_name: attempt-01
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+num_epochs: 4
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.00001
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+auto_resume_from_checkpoints: true
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch:
+eval_table_size:
+eval_max_new_tokens:
+saves_per_epoch: 1
+debug:
+deepspeed: deepspeed_configs/zero3_bf16.json
+weight_decay: 0.001
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <pad>
+
+```
+
+</details><br>
+
+## Credits
+
+Thank you to [Lucy Knada](https://huggingface.co/lucyknada), [Kalomaze](https://huggingface.co/kalomaze), [Kubernetes Bad](https://huggingface.co/kubernetes-bad) and the rest of [Anthracite](https://huggingface.co/anthracite-org) (But not Alpin.)
+
+
+## Training
+The training was done for 4 epochs. We used  8 x [H100s](https://www.nvidia.com/en-us/data-center/h100/) GPUs graciously provided by [Lucy Knada](https://huggingface.co/lucyknada) 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
+
+Nein. 
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Delta-Vector__Odin-9B)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |24.65|
+|IFEval (0-Shot)    |36.92|
+|BBH (3-Shot)       |34.83|
+|MATH Lvl 5 (4-Shot)|12.54|
+|GPQA (0-shot)      |12.19|
+|MuSR (0-shot)      |17.56|
+|MMLU-PRO (5-shot)  |33.85|
+
+