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Model: ChiKoi7/Llama3.1-SuperHawk-8B-Heretic-v2 Source: Original Platform
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README.md
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README.md
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---
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license: llama3.1
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tags:
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- merge
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- mergekit
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- Uncensored
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- Heretic
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- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
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- mukaj/Llama-3.1-Hawkish-8B
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base_model:
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- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
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- mukaj/Llama-3.1-Hawkish-8B
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- ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic
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- ChiKoi7/Llama-3.1-Hawkish-8B-Heretic
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pipeline_tag: text-generation
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---
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# Llama3.1-SuperHawk-8B-Heretic-v2
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- 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
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- 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)
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- The same merge config as the original model was used, with the only difference being the models were abliterated first.<br><br>
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**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.
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| | Llama3.1-SuperHawk-8B-Heretic-v2 | Original model ([Llama3.1-SuperHawk-8B](https://huggingface.co/Yuma42/Llama3.1-SuperHawk-8B)) |
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| --- | --- | --- |
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| **Refusals** | 5/100 | 99/100 |
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| **KL divergence** | 0.0493 | 0 *(by definition)* |
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## Models Used
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[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>
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Initial Refusals: 97/100<br>
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Heretic: 3/100 @ 0.0530 KL Div.<br><br>
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[ChiKoi7/Llama-3.1-Hawkish-8B-Heretic](https://huggingface.co/ChiKoi7/Llama-3.1-Hawkish-8B-Heretic)<br>
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Initial Refusals: 98/100<br>
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Heretic: 9/100 @ 0.0595 KL Div.<br>
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## Merge Config
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```
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slices:
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- sources:
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- model: ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic
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layer_range: [0, 32]
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- model: ChiKoi7/Llama-3.1-Hawkish-8B-Heretic
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layer_range: [0, 32]
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merge_method: slerp
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base_model: ChiKoi7/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base-Heretic
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parameters:
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t:
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- value: 0.3
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dtype: bfloat16
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```
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---
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---
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Llama3.1-SuperHawk-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base](https://huggingface.co/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base)
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* [mukaj/Llama-3.1-Hawkish-8B](https://huggingface.co/mukaj/Llama-3.1-Hawkish-8B)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
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layer_range: [0, 32]
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- model: mukaj/Llama-3.1-Hawkish-8B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
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parameters:
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t:
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- value: 0.3
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "Yuma42/Llama3.1-SuperHawk-8B"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/Yuma42__Llama3.1-SuperHawk-8B-details)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |31.14|
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|IFEval (0-Shot) |79.86|
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|BBH (3-Shot) |31.97|
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|MATH Lvl 5 (4-Shot)|23.49|
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|GPQA (0-shot) | 8.39|
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|MuSR (0-shot) |10.38|
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|MMLU-PRO (5-shot) |32.73|
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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|>
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'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>
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' }}
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config.json
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"dtype": "float16",
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128001,
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"head_dim": 128,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"transformers_version": "4.57.3",
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"use_cache": true,
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"vocab_size": 128256
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}
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||||
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||||
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|
||||
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||||
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
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"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
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||||
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||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
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||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410563
tokenizer.json
Normal file
410563
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2062
tokenizer_config.json
Normal file
2062
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user