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Model: ichigoberry/pandafish-2-7b-32k
Source: Original Platform

.gitattributes

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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- mistralai/Mistral-7B-Instruct-v0.2
+- cognitivecomputations/dolphin-2.8-mistral-7b-v02
+base_model:
+- mistralai/Mistral-7B-Instruct-v0.2
+- cognitivecomputations/dolphin-2.8-mistral-7b-v02
+license: apache-2.0
+---
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/6389d3c61e8755d777902366/-_AiKUEsY3x-N7oY52fdE.jpeg" style="border-radius:6%; width: 33%">
+
+# pandafish-2-7b-32k
+
+pandafish-2-7b-32k is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)
+
+
+## 💬 Try it
+
+[Playground on Huggingface Space](https://huggingface.co/spaces/ichigoberry/pandafish-2-7b-32k)
+
+Chat template: Mistral Instruct
+
+
+## ⚡ Quantized models
+
+- **GGUF**: [ichigoberry/pandafish-2-7b-32k-GGUF](https://huggingface.co/ichigoberry/pandafish-2-7b-32k-GGUF)
+- **GGUF**: [mradermacher/pandafish-2-7b-32k-GGUF](https://huggingface.co/mradermacher/pandafish-2-7b-32k-GGUF)
+- **MLX**: [4bit](https://huggingface.co/mlx-community/pandafish-dt-7b-4bit)
+- **EXL2**: [bartowski/pandafish-2-7b-32k-exl2](https://huggingface.co/bartowski/pandafish-2-7b-32k-exl2)
+
+
+## 🏆 Evals
+
+|                                   Model                                   |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
+|---------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
+|🐡 [**pandafish-2-7b-32k**](https://huggingface.co/ichigoberry/pandafish-2-7b-32k) [📄](https://gist.github.com/tosh/de1769c43db88d94353ca481f4bc418f)|   **40.8**|  **73.35**|     57.46|   **42.69**|  53.57|
+|[Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) [📄](https://gist.github.com/tosh/578fa995f985b178b65a7675168b145c)|   38.5|  71.64|     66.82|   42.29|  **54.81**|
+|[dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02) [📄](https://gist.github.com/tosh/424bf090fa49d6117f4cffe6373e4060)|  38.99|  72.22|     **51.96**|   40.41|   50.9|
+
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: alpindale/Mistral-7B-v0.2-hf
+    # No parameters necessary for base model
+  - model: mistralai/Mistral-7B-Instruct-v0.2
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
+    parameters:
+      density: 0.53
+      weight: 0.4
+merge_method: dare_ties
+base_model: alpindale/Mistral-7B-v0.2-hf
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "ichigoberry/pandafish-2-7b-32k"
+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": "alpindale/Mistral-7B-v0.2-hf",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+models:
+  - model: alpindale/Mistral-7B-v0.2-hf
+    # No parameters necessary for base model
+  - model: mistralai/Mistral-7B-Instruct-v0.2
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
+    parameters:
+      density: 0.53
+      weight: 0.4
+merge_method: dare_ties
+base_model: alpindale/Mistral-7B-v0.2-hf
+parameters:
+  int8_mask: true
+dtype: bfloat16

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
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+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}