First model version

README.md

@@ -1,18 +1,29 @@
 ---
-license: apache-2.0
+base_model:
+- kaist-ai/prometheus-7b-v1.0
+- mistralai/Mistral-7B-v0.1
 tags:
-- merge
 - mergekit
-- lazymergekit
-- kaist-ai/prometheus-7b-v1.0
+- merge
+
 ---
+# merge
 
-# evalistral
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-evalistral is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
 * [kaist-ai/prometheus-7b-v1.0](https://huggingface.co/kaist-ai/prometheus-7b-v1.0)
 
-## 🧩 Configuration
+### Configuration
+
+The following YAML configuration was used to produce this model:
 
 ```yaml
 models:
@@ -23,9 +34,9 @@ models:
       density: 0.5
       weight: 0.5
 merge_method: ties
-base_model: 
+base_model: mistralai/Mistral-7B-v0.1
 parameters:
   normalize: true
 dtype: float16
 
-```
+```

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,12 @@
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # no parameters necessary for base model
+  - model: kaist-ai/prometheus-7b-v1.0
+    parameters:
+      density: 0.5
+      weight: 0.5
+merge_method: ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  normalize: true
+dtype: float16

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