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Model: ChiKoi7/Llama3.1-SuperHawk-8B-Heretic-v2
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.joblib filter=lfs diff=lfs merge=lfs -text
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+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: llama3.1
+tags:
+- merge
+- mergekit
+- Uncensored
+- Heretic
+- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
+- mukaj/Llama-3.1-Hawkish-8B
+base_model:
+- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
+- mukaj/Llama-3.1-Hawkish-8B
+- ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic
+- ChiKoi7/Llama-3.1-Hawkish-8B-Heretic
+pipeline_tag: text-generation
+---
+
+# Llama3.1-SuperHawk-8B-Heretic-v2
+
+- A merge/clone of [Llama3.1-SuperHawk-8B](https://huggingface.co/Yuma42/Llama3.1-SuperHawk-8B) but all the models were abliterated before merging using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
+- To be clear, this repo is NOT the original SuperHawk model passed through Heretic. A version that IS the original model passed through Heretic can be found [here](https://huggingface.co/ChiKoi7/Llama3.1-SuperHawk-8B-Heretic)
+- The same merge config as the original model was used, with the only difference being the models were abliterated first.<br><br>
+**Note:** The output of the merge was evaluated as having 16/100 refusals. The output model was passed through Heretic again to get the final result.
+
+|     | Llama3.1-SuperHawk-8B-Heretic-v2 | Original model ([Llama3.1-SuperHawk-8B](https://huggingface.co/Yuma42/Llama3.1-SuperHawk-8B)) |
+| --- | --- | --- |
+| **Refusals** | 5/100 | 99/100 |
+| **KL divergence** | 0.0493 | 0 *(by definition)* |
+
+
+## Models Used
+
+[ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic](https://huggingface.co/ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic)<br>
+Initial Refusals: 97/100<br>
+Heretic: 3/100 @ 0.0530 KL Div.<br><br>
+
+
+[ChiKoi7/Llama-3.1-Hawkish-8B-Heretic](https://huggingface.co/ChiKoi7/Llama-3.1-Hawkish-8B-Heretic)<br>
+Initial Refusals: 98/100<br>
+Heretic: 9/100 @ 0.0595 KL Div.<br>
+
+## Merge Config
+
+```
+slices:
+  - sources:
+      - model: ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic
+        layer_range: [0, 32]
+      - model: ChiKoi7/Llama-3.1-Hawkish-8B-Heretic
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic
+parameters:
+  t:
+    - value: 0.3
+dtype: bfloat16
+```
+
+
+---
+---
+Llama3.1-SuperHawk-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base](https://huggingface.co/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base)
+* [mukaj/Llama-3.1-Hawkish-8B](https://huggingface.co/mukaj/Llama-3.1-Hawkish-8B)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
+        layer_range: [0, 32]
+      - model: mukaj/Llama-3.1-Hawkish-8B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
+parameters:
+  t:
+    - value: 0.3
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Yuma42/Llama3.1-SuperHawk-8B"
+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"])
+```
+# [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/Yuma42__Llama3.1-SuperHawk-8B-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |31.14|
+|IFEval (0-Shot)    |79.86|
+|BBH (3-Shot)       |31.97|
+|MATH Lvl 5 (4-Shot)|23.49|
+|GPQA (0-shot)      | 8.39|
+|MuSR (0-shot)      |10.38|
+|MMLU-PRO (5-shot)  |32.73|

chat_template.jinja

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+{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
+
+'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>
+
+' }}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "float16",
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.3",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "transformers_version": "4.57.3"
+}

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