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Model: louisbrulenaudet/DevPearl-7B-dare-ties
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
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README.md

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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"])
+```

config.json

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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
+}

configuration.json

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

mergekit_config.yml

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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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special_tokens_map.json

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+    "▁<MID>",
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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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+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
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+  "use_default_system_prompt": false
+}