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README.md

@@ -1,68 +1,40 @@
 ---
-license: mit
-language:
-- en
+base_model:
+- 01-ai/Yi-1.5-9B-Chat
+- Qwen/Qwen2-7B-Instruct
+library_name: transformers
 tags:
-- turbo
-- conversational
-- chicka
----
-# ChinaLM by Chickaboo AI
-
-Welcome to ChinaLM, a Chinese LLM merge made Chickaboo AI. ChinaLM is designed to deliver a high-quality conversational experience in Chinese.
-
-## Table of Contents
-- **Model Details**
-- **Benchmarks**
-- **Usage**
-
-## Model Details
-ChinaLM is a merge of the [Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct) model and [Yi-1.5-9B-Chat](https://huggingface.co/01-ai/Yi-1.5-9B-Chat) made with Mergekit using this config file:
-``` json
-slices:
-  - sources:
-    - model: 01-ai/Yi-1.5-9B-Chat
-      layer_range: [0, 20]
-  - sources:
-    - model: Qwen/Qwen2-7B-Instruct
-      layer_range: [0, 20]
-merge_method: passthrough
-dtype: bfloat16
-```
-
-## OpenLLM Learderboards
+- mergekit
+- merge
 
-| **Benchmark**    | **ChinaLM**  | **Mistral-7B-Instruct-v0.2** | **Meta-Llama-3-8B** |
-|--------------|----------------------|--------------------------|-----------------|
-| **Average**      | **--**                |  60.97                   | 62.55           |
-| **ARC**          | **--**                |  59.98                   | 59.47           |
-| **Hellaswag**    | **--**                |  83.31                   | 82.09           |
-| **MMLU**         | **--**                |  64.16                   | **66.67**           |
-| **TruthfulQA**   | **--**                |  42.15                   | 43.95           |
-| **Winogrande**   | **--**                |  78.37                   | 77.35           |
-| **GSM8K**        | **--**                |  37.83                   | 45.79           |
+---
+# merged
 
-## Usage
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
+## Merge Details
+### Merge Method
 
-device = "cuda" # the device to load the model onto
+This model was merged using the passthrough merge method.
 
-model = AutoModelForCausalLM.from_pretrained("Chickaboo/ChinaLM")
-tokenizer = AutoTokenizer.from_pretrained("Chickaboo/ChinaLM")
+### Models Merged
 
-messages = [
-    {"role": "user", "content": "What is your favourite condiment?"},
-    {"role": "assistant", "content": "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!"},
-    {"role": "user", "content": "Do you have mayonnaise recipes?"}
-]
+The following models were included in the merge:
+* [01-ai/Yi-1.5-9B-Chat](https://huggingface.co/01-ai/Yi-1.5-9B-Chat)
+* [Qwen/Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct)
 
-encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
+### Configuration
 
-model_inputs = encodeds.to(device)
-model.to(device)
+The following YAML configuration was used to produce this model:
 
-generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
-decoded = tokenizer.batch_decode(generated_ids)
-print(decoded[0])
+```yaml
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 20]
+    model: 01-ai/Yi-1.5-9B-Chat
+- sources:
+  - layer_range: [0, 20]
+    model: Qwen/Qwen2-7B-Instruct
+```

config.json

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+{
+  "_name_or_path": "01-ai/Yi-1.5-9B-Chat",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 4,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 5000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": false,
+  "vocab_size": 64000
+}

mergekit_config.yml

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+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 20]
+    model: 01-ai/Yi-1.5-9B-Chat
+- sources:
+  - layer_range: [0, 20]
+    model: Qwen/Qwen2-7B-Instruct

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