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---
tags:
- merge
- mergekit
- lazymergekit
- deepseek-ai/deepseek-coder-6.7b-instruct
- defog/sqlcoder-7b-2
base_model:
- deepseek-ai/deepseek-coder-6.7b-instruct
- defog/sqlcoder-7b-2
license: apache-2.0
language:
- en
library_name: diffusers
pipeline_tag: text-generation
---
# DevPearl-7B-dare-ties
**03-22-2024 - To date, louisbrulenaudet/Pearl-34B-ties is the "Best 🤝 base merges and moerges model of around 30B" on the Open LLM Leaderboard.**
DevPearl-7B-dare-ties is a merge of the following models :
* [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct)
* [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2)
## Configuration
```yaml
models:
- model: codellama/CodeLlama-7b-Instruct-hf
- model: deepseek-ai/deepseek-coder-6.7b-instruct
parameters:
density: 0.53
weight: 0.7
- model: defog/sqlcoder-7b-2
parameters:
density: 0.45
weight: 0.3
merge_method: dare_ties
base_model: codellama/CodeLlama-7b-Instruct-hf
parameters:
int8_mask: true
dtype: bfloat16
```
## Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "louisbrulenaudet/DevPearl-7B-dare-ties"
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"])
```

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{
"_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 11008,
"max_position_embeddings": 16384,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 32,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 1000000,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.35.2",
"use_cache": true,
"vocab_size": 32016
}

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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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models:
- model: codellama/CodeLlama-7b-Instruct-hf
- model: deepseek-ai/deepseek-coder-6.7b-instruct
parameters:
density: 0.53
weight: 0.7
- model: defog/sqlcoder-7b-2
parameters:
density: 0.45
weight: 0.3
merge_method: dare_ties
base_model: codellama/CodeLlama-7b-Instruct-hf
parameters:
int8_mask: true
dtype: bfloat16

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"▁<EOT>"
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"content": "▁<EOT>",
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"▁<EOT>"
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"eot_token": "▁<EOT>",
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