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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+Llama3-8B-SuperNova-Spectrum-Hermes-DPO - GGUF
+- Model creator: https://huggingface.co/yuvraj17/
+- Original model: https://huggingface.co/yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q2_K.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q2_K.gguf) | Q2_K | 2.96GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ3_S.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ3_S.gguf) | IQ3_S | 3.43GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ3_M.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ3_M.gguf) | IQ3_M | 3.52GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q3_K.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q3_K.gguf) | Q3_K | 3.74GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_0.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_0.gguf) | Q4_0 | 4.34GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_K.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_K.gguf) | Q4_K | 4.58GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_1.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q4_1.gguf) | Q4_1 | 4.78GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_0.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_0.gguf) | Q5_0 | 5.21GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_K.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_K.gguf) | Q5_K | 5.34GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_1.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q5_1.gguf) | Q5_1 | 5.65GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q6_K.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q6_K.gguf) | Q6_K | 6.14GB |
+| [Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q8_0.gguf](https://huggingface.co/RichardErkhov/yuvraj17_-_Llama3-8B-SuperNova-Spectrum-Hermes-DPO-gguf/blob/main/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.Q8_0.gguf) | Q8_0 | 7.95GB |
+
+
+
+
+Original model description:
+---
+language:
+- en
+license: apache-2.0
+library_name: transformers
+tags:
+- dpo
+- rlhf
+- trl
+pipeline_tag: text-generation
+model-index:
+- name: Llama3-8B-SuperNova-Spectrum-Hermes-DPO
+  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: 46.91
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO
+      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: 21.24
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO
+      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: 5.14
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO
+      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: 6.94
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO
+      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: 9.62
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO
+      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: 18.16
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO
+      name: Open LLM Leaderboard
+---
+
+# Llama3-8B-SuperNova-Spectrum-Hermes-DPO
+
+This model is a **DPO fine-tuned** version of my `DARE_TIES` merged Model [`yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties`](https://huggingface.co/yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties) on the [yuvraj17/chatml-OpenHermes2.5-dpo-binarized-alpha-2k](https://huggingface.co/datasets/yuvraj17/chatml-OpenHermes2.5-dpo-binarized-alpha-2k) dataset.
+
+## DPO (Direct Preference Optimization):
+
+Direct Preference Optimization (DPO) is a fine-tuning technique that focuses on aligning a model's responses with human preferences or ranking data without requiring reinforcement learning steps, like in RLHF. 
+
+<figure>
+
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/66137d95e8d2cda230ddcea6/kHcU5dkcSVqxEIWt_GRUB.png" width="1000" height="768">
+  <figcaption> DPO vs RLHF <a href="//arxiv.org/abs/2305.18290">Reference</a> </figcaption>
+
+</figure>
+
+## Training:
+
+- Trained on **1x A40s (48GB VRAM)** using the [HuggingFace TRL](https://huggingface.co/docs/trl/index).
+- **QLoRA**(`4-bit precision`) for 1 epoch
+  ```
+  # LoRA configuration
+  peft_config = LoraConfig(
+      r=32,
+      lora_alpha=16,
+      lora_dropout=0.05,
+      bias="none",
+      task_type="CAUSAL_LM",
+      target_modules=['k_proj', 'gate_proj', 'v_proj', 'up_proj', 'q_proj', 'o_proj', 'down_proj']
+  )
+  ```
+### Training Params
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- beta=0.1
+- num_devices: 1
+- gradient_accumulation_steps: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Training Time = **1:57:00** hours
+
+### Weight & Biases Report
+
+[Report-Link](https://api.wandb.ai/links/my-sft-team/d211juao)
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+
+## 🏆 Evaluation Scores
+
+Coming Soon
+# [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_yuvraj17__Llama3-8B-SuperNova-Spectrum-Hermes-DPO)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |18.00|
+|IFEval (0-Shot)    |46.91|
+|BBH (3-Shot)       |21.24|
+|MATH Lvl 5 (4-Shot)| 5.14|
+|GPQA (0-shot)      | 6.94|
+|MuSR (0-shot)      | 9.62|
+|MMLU-PRO (5-shot)  |18.16|
+
+
+