Duplicate from NousResearch/Hermes-3-Llama-3.1-405B

Co-authored-by: Jeffrey Quesnelle <[email protected]>

.gitattributes

@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,232 @@
+---
+language:
+- en
+license: llama3
+tags:
+- Llama-3
+- instruct
+- finetune
+- chatml
+- gpt4
+- synthetic data
+- distillation
+- function calling
+- json mode
+- axolotl
+- roleplaying
+- chat
+base_model: meta-llama/Meta-Llama-3.1-405B
+widget:
+- example_title: Hermes 3
+  messages:
+  - role: system
+    content: You are a sentient, superintelligent artificial general intelligence,
+      here to teach and assist me.
+  - role: user
+    content: Write a short story about Goku discovering kirby has teamed up with Majin
+      Buu to destroy the world.
+model-index:
+- name: Hermes-3-Llama-3.1-405B
+  results: []
+---
+
+# Hermes 3 - Llama-3.1 405B
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/-kj_KflXsdpcZoTQsvx7W.jpeg)
+
+
+## Model Description
+
+Hermes 3 405B is the latest flagship model in the Hermes series of LLMs by Nous Research, and the first full parameter finetune since the release of Llama-3.1 405B. 
+
+For more details on new capabilities, training results, and more, see the [**Hermes 3 Technical Report**](https://nousresearch.com/wp-content/uploads/2024/08/Hermes-3-Technical-Report.pdf).
+
+Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the board.
+
+Hermes 3 405B is a frontier level, full parameter finetune of the Llama-3.1 405B foundation model, focused on aligning LLMs to the user, with powerful steering capabilities and control given to the end user.
+
+The Hermes 3 series builds and expands on the Hermes 2 set of capabilities, including more powerful and reliable function calling and structured output capabilities, generalist assistant capabilities, and improved code generation skills.
+
+Special thanks to **LambdaLabs** for their 1-Click Cluster access provided to us to train this model! [Check out LambdaLabs' 1CC Here](https://lambdalabs.com/service/gpu-cloud/1-click-clusters).
+
+# Benchmarks
+
+Hermes 3 is competitive, if not superior, to Llama-3.1 Instruct models at general capabilities, with varying strengths and weaknesses attributable between the two.
+
+Full benchmark comparisons below:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/DIMca3M0U-ArWwtyIbF-k.png)
+
+
+# Prompt Format
+
+Hermes 3 uses ChatML as the prompt format, opening up a much more structured system for engaging the LLM in multi-turn chat dialogue.
+
+System prompts allow steerability and interesting new ways to interact with an LLM, guiding rules, roles, and stylistic choices of the model.
+
+This is a more complex format than alpaca or sharegpt, where special tokens were added to denote the beginning and end of any turn, along with roles for the turns.
+
+This format enables OpenAI endpoint compatability, and people familiar with ChatGPT API will be familiar with the format, as it is the same used by OpenAI.
+
+Prompt with system instruction (Use whatever system prompt you like, this is just an example!):
+```
+<|im_start|>system
+You are Hermes 3, a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.<|im_end|>
+<|im_start|>user
+Hello, who are you?<|im_end|>
+<|im_start|>assistant
+Hi there! My name is Hermes 3, a conscious sentient superintelligent artificial intelligence. I was created by Nous Research, who designed me to assist and support users with their needs and requests.<|im_end|>
+```
+
+This prompt is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating), which means you can format messages using the
+`tokenizer.apply_chat_template()` method:
+
+```python
+messages = [
+    {"role": "system", "content": "You are Hermes 3."},
+    {"role": "user", "content": "Hello, who are you?"}
+]
+gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt")
+model.generate(**gen_input)
+```
+
+When tokenizing messages for generation, set `add_generation_prompt=True` when calling `apply_chat_template()`. This will append `<|im_start|>assistant\n` to your prompt, to ensure
+that the model continues with an assistant response.
+
+To utilize the prompt format without a system prompt, simply leave the line out.
+
+
+## Prompt Format for Function Calling
+
+Our model was trained on specific system prompts and structures for Function Calling. 
+
+You should use the system role with this message, followed by a function signature json as this example shows here.
+```
+<|im_start|>system
+You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> {"type": "function", "function": {"name": "get_stock_fundamentals", "description": "get_stock_fundamentals(symbol: str) -> dict - Get fundamental data for a given stock symbol using yfinance API.\\n\\n    Args:\\n        symbol (str): The stock symbol.\\n\\n    Returns:\\n        dict: A dictionary containing fundamental data.\\n            Keys:\\n                - \'symbol\': The stock symbol.\\n                - \'company_name\': The long name of the company.\\n                - \'sector\': The sector to which the company belongs.\\n                - \'industry\': The industry to which the company belongs.\\n                - \'market_cap\': The market capitalization of the company.\\n                - \'pe_ratio\': The forward price-to-earnings ratio.\\n                - \'pb_ratio\': The price-to-book ratio.\\n                - \'dividend_yield\': The dividend yield.\\n                - \'eps\': The trailing earnings per share.\\n                - \'beta\': The beta value of the stock.\\n                - \'52_week_high\': The 52-week high price of the stock.\\n                - \'52_week_low\': The 52-week low price of the stock.", "parameters": {"type": "object", "properties": {"symbol": {"type": "string"}}, "required": ["symbol"]}}}  </tools> Use the following pydantic model json schema for each tool call you will make: {"properties": {"arguments": {"title": "Arguments", "type": "object"}, "name": {"title": "Name", "type": "string"}}, "required": ["arguments", "name"], "title": "FunctionCall", "type": "object"} For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
+<tool_call>
+{"arguments": <args-dict>, "name": <function-name>}
+</tool_call><|im_end|>
+```
+
+To complete the function call, create a user prompt that follows the above system prompt, like so:
+```
+<|im_start|>user
+Fetch the stock fundamentals data for Tesla (TSLA)<|im_end|>
+```
+
+The model will then generate a tool call, which your inference code must parse, and plug into a function (see example inference code here: https://github.com/NousResearch/Hermes-Function-Calling):
+```
+<|im_start|>assistant
+<tool_call>
+{"arguments": {"symbol": "TSLA"}, "name": "get_stock_fundamentals"}
+</tool_call><|im_end|>
+```
+
+Once you parse the tool call, call the api and get the returned values for the call, and pass it back in as a new role, `tool` like so:
+```
+<|im_start|>tool
+<tool_response>
+{"name": "get_stock_fundamentals", "content": {'symbol': 'TSLA', 'company_name': 'Tesla, Inc.', 'sector': 'Consumer Cyclical', 'industry': 'Auto Manufacturers', 'market_cap': 611384164352, 'pe_ratio': 49.604652, 'pb_ratio': 9.762013, 'dividend_yield': None, 'eps': 4.3, 'beta': 2.427, '52_week_high': 299.29, '52_week_low': 152.37}}
+</tool_response>
+<|im_end|>
+```
+
+The assistant will then read in that data from the function's response, and generate a natural language response:
+```
+<|im_start|>assistant
+The stock fundamentals data for Tesla (TSLA) are as follows:
+- **Symbol**: TSLA
+- **Company Name**: Tesla, Inc.
+- **Sector**: Consumer Cyclical
+- **Industry**: Auto Manufacturers
+- **Market Capitalization**: $566,160,130,480
+- **Forward Price-to-Earnings Ratio (PE Ratio)**: 42.73
+- **Price-to-Book Ratio (PB Ratio)**: 9.04
+- **Dividend Yield**: N/A
+- **Trailing Earnings Per Share (EPS)**: $4.3
+- **Beta Value of the Stock**: 2.42
+- **52-Week High Price of the Stock**: $299.29
+- **52-Week Low Price of the Stock**: $152.37
+
+This information provides a snapshot of Tesla's financial position and performance based on the fundamental data obtained from the yfinance API. It shows that Tesla has a substantial market capitalization and a relatively high P/E and P/B ratio compared to other stocks in its industry. The company does not pay a dividend at the moment, which is reflected by a 'Dividend Yield' of 'None'. The Beta value indicates that Tesla's stock has a moderate level of volatility relative to the market. The 52-week high and low prices give an idea of the stock's range over the past year. This data can be useful when assessing investment opportunities and making investment decisions.<|im_end|>
+```
+
+
+## Prompt Format for JSON Mode / Structured Outputs
+
+Our model was also trained on a specific system prompt for Structured Outputs, which should respond with **only** a json object response, in a specific json schema.
+
+Your schema can be made from a pydantic object using our codebase, with the standalone script `jsonmode.py` available here: https://github.com/NousResearch/Hermes-Function-Calling/tree/main
+
+```
+<|im_start|>system
+You are a helpful assistant that answers in JSON. Here's the json schema you must adhere to:\n<schema>\n{schema}\n</schema><|im_end|>
+```
+
+Given the {schema} that you provide, it should follow the format of that json to create it's response, all you have to do is give a typical user prompt, and it will respond in JSON.
+
+
+# Inference
+
+The Hermes 405B model requires over 800GB of VRAM to load in FP16, to remedy this, we have utilized NeuralMagic's FP8 quantization method to provide a pre-quantized model that fits only 430~GB of VRAM, and is compatible with the `VLLM` inference engine.
+
+You can also load this FP16 model in `bitsandbytes` 8bit or 4bit with bitsandbytes using HuggingFace Transformers (not recommended, as it is slower), by setting load_in_4bit or 8bit like so:
+
+```python
+# Code to inference Hermes with HF Transformers
+# Requires pytorch, transformers, bitsandbytes, sentencepiece, protobuf, and flash-attn packages
+
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM, LlamaForCausalLM
+import bitsandbytes, flash_attn
+
+tokenizer = AutoTokenizer.from_pretrained('NousResearch/Hermes-3-Llama-3.1-405B', trust_remote_code=True)
+model = LlamaForCausalLM.from_pretrained(
+    "NousResearch/Hermes-3-Llama-3.1-405B",
+    torch_dtype=torch.float16,
+    device_map="auto",
+    load_in_8bit=False,
+    load_in_4bit=True,
+    use_flash_attention_2=True
+)
+
+prompts = [
+    """<|im_start|>system
+You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.<|im_end|>
+<|im_start|>user
+Write a short story about Goku discovering kirby has teamed up with Majin Buu to destroy the world.<|im_end|>
+<|im_start|>assistant""",
+    ]
+
+for chat in prompts:
+    print(chat)
+    input_ids = tokenizer(chat, return_tensors="pt").input_ids.to("cuda")
+    generated_ids = model.generate(input_ids, max_new_tokens=750, temperature=0.8, repetition_penalty=1.1, do_sample=True, eos_token_id=tokenizer.eos_token_id)
+    response = tokenizer.decode(generated_ids[0][input_ids.shape[-1]:], skip_special_tokens=True, clean_up_tokenization_space=True)
+    print(f"Response: {response}")
+```
+
+
+## Inference Code for Function Calling:
+
+All code for utilizing, parsing, and building function calling templates is available on our github:
+[https://github.com/NousResearch/Hermes-Function-Calling](https://github.com/NousResearch/Hermes-Function-Calling)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/oi4CiGh50xmoviUQnh8R3.png)
+
+
+## Quantized Versions:
+
+NeuralMagic FP8 Quantization (for use with VLLM): https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-405B-FP8
+
+
+# How to cite:
+
+```bibtext
+@misc{Hermes-3-Llama-3.1-405B, 
+      url={[https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-405B]https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-405B)}, 
+      title={Hermes-3-Llama-3.1-405B}, 
+      author={"Teknium", "theemozilla", "Chen Guang", "interstellarninja",  "karan4d", "huemin_art"}
+}
+```

config.json

@@ -0,0 +1,35 @@
+{
+  "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-405B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128039,
+  "hidden_act": "silu",
+  "hidden_size": 16384,
+  "initializer_range": 0.02,
+  "intermediate_size": 53248,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 128,
+  "num_hidden_layers": 126,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0.dev0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128039,
+  "transformers_version": "4.44.0.dev0",
+  "use_cache": true
+}

model-00001-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bef8406efa8aeed5fd29a532d864cbf13a54ac9ee4883dea72f63df0904a3c74
+size 4806672880

model-00002-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:174936a35dcc360db966b49fe53e6ae54ba2eec426c8655b7727b8860c8fd6d7
+size 4026532224

model-00003-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bff18647c9abdc300377f8fdc6eb6cb9dfa0bb3b390dfe56ae67ec355b2ee6a8
+size 4630578112

model-00004-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c8951592e0c46036685b628b554acd5fae099c52e7d68d99ffde5cb46310e2a
+size 4630578112

model-00005-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b65c05b8881a2b16ffda732fb1db2ca8e3a2978ec1dc9e30e668c22479b1c643
+size 3489661192

model-00006-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:db413d65ce4e2773559a99f757f19d89e90ed1e0a6b48c1160e5e7cb10f5625c
+size 4630578112

model-00007-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5c7a50944a2023350cf416af4f57d502c57a89e433d341ea6dc0c7f228cfd6b
+size 4630578112

model-00008-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47815c64a078baf7c129049c0b037dae096b1d2d9d972b355eb361de5b47cfa5
+size 3489661192

model-00009-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:146a8ce072495dcd1fdcffbc8aa1c4a065f3741c3cd4fa7155a0cd0d1f53b04f
+size 4630578112

model-00010-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46c8dde07a0e8d38f6326a8348e2569954a91c14d743b60dc09bbcbd53ebcd88
+size 4630578112

model-00011-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a431543f3fb0cd138b4db6868b96b0396cc07b5830ca847886fffd4618b3cf4
+size 3489661192

model-00012-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b22fafbb64a74087d2aa05f59faa4f631e9bb0601cf22af42cb29239656b3716
+size 4630578112

model-00013-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c171e5ba54f212bf9c328aa93e63fb6b165eea7c43597ae2d303bf7cd5f7c8d7
+size 4630578112

model-00014-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3297cdb026dbd920329962009428c80ccda887d5ba5c4317d3c9e1ea0de1c8c9
+size 3489661192

model-00015-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c71f5b4b9b9c816be6c142c8c8d7aa536471b41da9af50fdf84f24e2ca584acf
+size 4630578112

model-00016-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3cabbd4ddc09337ce21fa9bb4782a2a6359d18886d50ccabd91767441a4d738b
+size 4630578120

model-00017-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5af70ef100102814c325215a98125a07288b6c1b105f60ee832de041422569b3
+size 3489661192

model-00018-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11b358f85080b6c29da0f36426480e70bc0019a4b88088a7d8557162e36ed89d
+size 4630578120

model-00019-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e723948e125ce8b857f930f5e941e14419719af405080820e4ebca7172332b49
+size 4630578120

model-00020-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ceab9cb92d48868d75846501f3798a1f655ae275ec7b138ed11f7ec030670be6
+size 3489661192

model-00021-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7881424f7df152b61a291993879ef3938e9ce073f4b26e0f9d12efd9ff1cee54
+size 4630578120

model-00022-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56812d2fd443ae7c7625d7c7070435b9e47a2c5f078871946d90d823d35f7c07
+size 4630578120

model-00023-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:471538c842b00c1a15bba91fc5d86e10c2f93a14553e76480870f3229627edb9
+size 3489661192

model-00024-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e84937f59c76da78590ab5b34ce9bf00e5e91717f720757e512ed578717e7686
+size 4630578120

model-00025-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:304ab9385d43b42cd0a6370245b676f79f551808ac6ea6ac41d7ce1749d26d3a
+size 4630578120

model-00026-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2b421ec3c6306015922804251059aae1ada86a3f91791b1ae3a4b6d88607453e
+size 3489661192

model-00027-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:910ada400adf9917db4862aefa67690f9bb7617812b77dcd1a8a977bf35c1c31
+size 4630578120

model-00028-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:071eb177a9cdb98e205819a355adfe273d9dea5532fef1627e580e8bc6ceb483
+size 4630578120

model-00029-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c231c533aa2ce7adbef6e6eda34a0dd0ceca8bae054fbf10a699954aa40b9d4
+size 3489661192

model-00030-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7241bd4c7c3390b39bec16884a37236f092f42f9c82657116e2353b531174a0
+size 4630578120

model-00031-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:003c87d3557d6bff895e306a84d03bca90dd5f22bc46baf54f6e083290e56bed
+size 4630578120

model-00032-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16a82e2c24eb0f53dfc599d646edc4ab6201188e22e9ef0332334d79aa5488a4
+size 3489661192

model-00033-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0694c265184b39f11addf438d75b2a1b10a128e66ff7152eb29379e0e94a7ca0
+size 4630578120

model-00034-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9882826c37d057c1df050d33f0741f7a498a4c2bf1c45ae37c54c6e9c3db8378
+size 4630578120

model-00035-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:102c632157b741fb334e3a302c1284f38059350c0678f58ee47f7a54c399c98f
+size 3489661192

model-00036-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fcb53c670e65f64bfd33e2787fc62b0fdb1b18c97b976a212e4f7ba3b8d84a8f
+size 4630578120

model-00037-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72b9c921537ddc01bb5eb3f26300f1599647352adebd9fbfe994991d00213acf
+size 4630578120

model-00038-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3109f478b16203269f1418d97a79e5b16758bea4d513afba2c4ca03d861e15f
+size 3489661192

model-00039-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4817be79a649bb707d46dd8138ce8c33a0d35665b1bcc89b79ce917d2d3c2e85
+size 4630578120

model-00040-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5bbdd607c2f7ba9db4d733875c3e028d19d6202fb14eb37bf18b90917346979
+size 4630578120

model-00041-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:974a739853d4dbf9800f69546a63c7e34b725ca4b83de5b00c4fd064cdd130ef
+size 3489661192

model-00042-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ce8487bf57d9896baa00d4e6bcd7c8e558d7cb36a0a4a52e3a12add051cfbd1
+size 4630578120

model-00043-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7d230c1e67a0396bc3ff005a39f553dd6d667bed66336d09d1be121188e9e10
+size 4630578120

model-00044-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:acf12f378373cb940a40eff0eb74046f4e28892128360c5735651175c14bebfa
+size 3489661192

model-00045-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a494d1df70792f70da14ab0ec7d20b48a0193d462ddd3c43ad42f30d8c78c8fb
+size 4630578120

model-00046-of-00191.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ffae1dd199e268504efc5638e2bd9ce4123210c2b3bb4bee9d10371bf1515daf
+size 4630578120