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README.md

@@ -1,35 +1,32 @@
 ---
 tags:
 - merge
-- OpenPipe/mistral-ft-optimized-1227
+- mergekit
+- lazymergekit
 - Nexusflow/Starling-LM-7B-beta
+- FuseAI/FuseChat-7B-VaRM
 base_model:
-- OpenPipe/mistral-ft-optimized-1227
 - Nexusflow/Starling-LM-7B-beta
-license: apache-2.0
+- FuseAI/FuseChat-7B-VaRM
 ---
 
 # M-LChat-7b
 
-M-LChat-7b is a merge of the following models using:
-* [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227)
+M-LChat-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
+* [FuseAI/FuseChat-7B-VaRM](https://huggingface.co/FuseAI/FuseChat-7B-VaRM)
 
-  ## License
-
-  Apache 2.0 but you cannot use this Model to compete with OpenAI.
-
-## Configuration
+## 🧩 Configuration
 
 ```yaml
 slices:
   - sources:
-      - model: OpenPipe/mistral-ft-optimized-1227
-        layer_range: [0, 32]
       - model: Nexusflow/Starling-LM-7B-beta
         layer_range: [0, 32]
+      - model: FuseAI/FuseChat-7B-VaRM
+        layer_range: [0, 32]
 merge_method: slerp
-base_model: OpenPipe/mistral-ft-optimized-1227
+base_model: FuseAI/FuseChat-7B-VaRM
 parameters:
   t:
     - filter: self_attn
@@ -40,7 +37,7 @@ parameters:
 dtype: bfloat16
 ```
 
-## Usage
+## 💻 Usage
 
 ```python
 !pip install -qU transformers accelerate
@@ -50,7 +47,7 @@ import transformers
 import torch
 
 model = "Artples/M-LChat-7b"
-messages = [{GPT4 Correct User: What can i do if a lama is in my porch?<|end_of_turn|>GPT4 Correct Assistant:}]
+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)
@@ -63,8 +60,4 @@ pipeline = transformers.pipeline(
 
 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"])
-```
-
-## How?
-
-Usage of [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing) on a T4.
+```

added_tokens.json

@@ -0,0 +1,4 @@
+{
+  "<|end_of_turn|>": 32000,
+  "<|pad_0|>": 32001
+}

config.json

@@ -1,16 +1,16 @@
 {
-  "_name_or_path": "OpenPipe/mistral-ft-optimized-1227",
+  "_name_or_path": "FuseAI/FuseChat-7B-VaRM",
   "architectures": [
     "MistralForCausalLM"
   ],
   "attention_dropout": 0.0,
   "bos_token_id": 1,
-  "eos_token_id": 2,
+  "eos_token_id": 32000,
   "hidden_act": "silu",
   "hidden_size": 4096,
   "initializer_range": 0.02,
   "intermediate_size": 14336,
-  "max_position_embeddings": 32768,
+  "max_position_embeddings": 8192,
   "model_type": "mistral",
   "num_attention_heads": 32,
   "num_hidden_layers": 32,
@@ -20,7 +20,7 @@
   "sliding_window": 4096,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.39.3",
+  "transformers_version": "4.38.2",
   "use_cache": true,
-  "vocab_size": 32000
+  "vocab_size": 32002
 }

mergekit_config.yml

@@ -1,12 +1,12 @@
 
 slices:
   - sources:
-      - model: OpenPipe/mistral-ft-optimized-1227
-        layer_range: [0, 32]
       - model: Nexusflow/Starling-LM-7B-beta
         layer_range: [0, 32]
+      - model: FuseAI/FuseChat-7B-VaRM
+        layer_range: [0, 32]
 merge_method: slerp
-base_model: OpenPipe/mistral-ft-optimized-1227
+base_model: FuseAI/FuseChat-7B-VaRM
 parameters:
   t:
     - filter: self_attn

model-00001-of-00002.safetensors

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model.safetensors.index.json

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special_tokens_map.json

@@ -1,4 +1,8 @@
 {
+  "additional_special_tokens": [
+    "<|end_of_turn|>",
+    "<|pad_0|>"
+  ],
   "bos_token": {
     "content": "<s>",
     "lstrip": false,
@@ -7,7 +11,7 @@
     "single_word": false
   },
   "eos_token": {
-    "content": "</s>",
+    "content": "<|end_of_turn|>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,

tokenizer.json

@@ -29,6 +29,24 @@
       "rstrip": false,
       "normalized": false,
       "special": true
+    },
+    {
+      "id": 32000,
+      "content": "<|end_of_turn|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 32001,
+      "content": "<|pad_0|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
     }
   ],
   "normalizer": {

tokenizer_config.json

@@ -25,12 +25,32 @@
       "rstrip": false,
       "single_word": false,
       "special": true
+    },
+    "32000": {
+      "content": "<|end_of_turn|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|pad_0|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
     }
   },
-  "additional_special_tokens": [],
+  "additional_special_tokens": [
+    "<|end_of_turn|>",
+    "<|pad_0|>"
+  ],
   "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{{ 'GPT4 Correct ' + message['role'].title() + ': ' + message['content'] + '<|end_of_turn|>'}}{% endfor %}{% if add_generation_prompt %}{{ 'GPT4 Correct Assistant:' }}{% endif %}",
   "clean_up_tokenization_spaces": false,
-  "eos_token": "</s>",
+  "eos_token": "<|end_of_turn|>",
   "legacy": true,
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": null,
@@ -38,5 +58,5 @@
   "spaces_between_special_tokens": false,
   "tokenizer_class": "LlamaTokenizer",
   "unk_token": "<unk>",
-  "use_default_system_prompt": false
+  "use_default_system_prompt": true
 }