Hermes3-8b Model | MAX Builds

hermes3-8b

MAX Model

2 versions

Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research

Run this model

Install our magic package manager:
```
curl -ssL https://magic.modular.com/ | bash
```
Then run the source command that's printed in your terminal.
Install Max Pipelines in order to run this model.
```
magic global install max-pipelines
```

Start a local endpoint for hermes3/8b:

max-serve serve --huggingface-repo-id NousResearch/Hermes-3-Llama-3.1-8B

The endpoint is ready when you see the URI printed in your terminal:

Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)

Now open another terminal to send a request using curl:

curl -N http://0.0.0.0:8000/v1/chat/completions -H "Content-Type: application/json" -d '{
    "model": "hermes3/8b",
    "stream": true,
    "messages": [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who won the World Series in 2020?"}
    ]
}' | grep -o '"content":"[^"]*"' | sed 's/"content":"//g' | sed 's/"//g' | tr -d '
' | sed 's/\n/
/g'

🎉 Hooray! You’re running Generative AI. Our goal is to make this as easy as possible.

About

Hermes 3 is a generalist language model offering significant advancements over Hermes 2. Key improvements include advanced agentic capabilities, enhanced roleplaying, better reasoning, long-context coherence, and multi-turn conversational abilities. These upgrades make Hermes 3 versatile and powerful across a broad range of applications.

The Hermes series focuses on aligning language models with user intent, prioritizing user control and customization. Hermes 3 enhances this ethos by offering robust steering capabilities and expanded function calling for generating structured outputs. It also excels in generalist assistant roles and delivers notable progress in code generation.

The Hermes 3 series includes four different models: 3B, 8B, 70B, and 405B, accommodating varying requirements and scales of deployment.

References:

general.architecture	llama
general.base_model.0.name	Meta Llama 3.1 8B
general.base_model.0.organization	Meta Llama
general.base_model.0.repo_url	https://huggingface.co/meta-llama/Meta-Llama-3.1-8B
general.base_model.count	1
general.basename	Hermes-3-Llama-3.1
general.file_type	2
general.languages	[en]
general.license	llama3
general.name	Hermes 3 Llama 3.1 8B
general.organization	NousResearch
general.quantization_version	2
general.size_label	8B
general.tags	[Llama-3, instruct, finetune, chatml, gpt4, ...]
general.type	model
llama.attention.head_count	32
llama.attention.head_count_kv	8
llama.attention.layer_norm_rms_epsilon	1e-05
llama.block_count	32
llama.context_length	131072
llama.embedding_length	4096
llama.feed_forward_length	14336
llama.rope.dimension_count	128
llama.rope.freq_base	500000
llama.vocab_size	128256
tokenizer.chat_template.tool_use	{%- macro json_to_python_type(json_spec) %} {%- set basic_type_map = { "string": "str", "number": "float", "integer": "int", "boolean": "bool" } %} {%- if basic_type_map[json_spec.type] is defined %} {{- basic_type_map[json_spec.type] }} {%- elif json_spec.type == "array" %} {{- "list[" + json_to_python_type(json_spec\|items) + "]"}} {%- elif json_spec.type == "object" %} {%- if json_spec.additionalProperties is defined %} {{- "dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}} {%- else %} {{- "dict" }} {%- endif %} {%- elif json_spec.type is iterable %} {{- "Union[" }} {%- for t in json_spec.type %} {{- json_to_python_type({"type": t}) }} {%- if not loop.last %} {{- "," }} {%- endif %} {%- endfor %} {{- "]" }} {%- else %} {{- "Any" }} {%- endif %} {%- endmacro %} {{- bos_token }} {{- "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> " }} {%- for tool in tools %} {%- if tool.function is defined %} {%- set tool = tool.function %} {%- endif %} {{- '{"type": "function", "function": ' }} {{- '{"name": "' + tool.name + '", ' }} {{- '"description": "' + tool.name + '(' }} {%- for param_name, param_fields in tool.parameters.properties\|items %} {{- param_name + ": " + json_to_python_type(param_fields) }} {%- if not loop.last %} {{- ", " }} {%- endif %} {%- endfor %} {{- ")" }} {%- if tool.return is defined %} {{- " -> " + json_to_python_type(tool.return) }} {%- endif %} {{- " - " + tool.description + "\n\n" }} {%- for param_name, param_fields in tool.parameters.properties\|items %} {%- if loop.first %} {{- " Args:\n" }} {%- endif %} {{- " " + param_name + "(" + json_to_python_type(param_fields) + "): " + param_fields.description\|trim }} {%- endfor %} {%- if tool.return is defined and tool.return.description is defined %} {{- "\n Returns:\n " + tool.return.description }} {%- endif %} {{- '"' }} {{- ', "parameters": ' }} {%- if tool.parameters.properties \| length == 0 %} {{- "{}" }} {%- else %} {{- tool.parameters\|tojson }} {%- endif %} {{- "}" }} {%- if not loop.last %} {{- "\n" }} {%- endif %} {%- endfor %} {{- " </tools>" }} {{- 'Use the following pydantic model json schema for each tool call you will make: {"properties": {"name": {"title": "Name", "type": "string"}, "arguments": {"title": "Arguments", "type": "object"}}, "required": ["name", "arguments"], "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> " }} {{- '{"name": <function-name>, "arguments": <args-dict>} ' }} {{- '</tool_call><\|im_end\|>' }} {%- for message in messages %} {%- if message.role == "user" or message.role == "system" or (message.role == "assistant" and message.tool_calls is not defined) %} {{- '<\|im_start\|>' + message.role + '\n' + message.content + '<\|im_end\|>' + '\n' }} {%- elif message.role == "assistant" %} {{- '<\|im_start\|>' + message.role }} {%- for tool_call in message.tool_calls %} {{- ' <tool_call> ' }} {%- if tool_call.function is defined %} {%- set tool_call = tool_call.function %} {%- endif %} {{- '{' }} {{- '"name": "' }} {{- tool_call.name }} {{- '"}' }} {{- ', '}} {%- if tool_call.arguments is defined %} {{- '"arguments": ' }} {{- tool_call.arguments\|tojson }} {%- endif %} {{- '\n</tool_call>' }} {%- endfor %} {{- '<\|im_end\|>\n' }} {%- elif message.role == "tool" %} {%- if not message.name is defined %} {{- raise_exception("Tool response dicts require a 'name' key indicating the name of the called function!") }} {%- endif %} {%- if loop.previtem and loop.previtem.role != "tool" %} {{- '<\|im_start\|>tool\n' }} {%- endif %} {{- '<tool_response>\n' }} {{- message.content }} {%- if not loop.last %} {{- '\n</tool_response>\n' }} {%- else %} {{- '\n</tool_response>' }} {%- endif %} {%- if not loop.last and loop.nextitem.role != "tool" %} {{- '<\|im_end\|>' }} {%- elif loop.last %} {{- '<\|im_end\|>' }} {%- endif %} {%- endif %} {%- endfor %} {%- if add_generation_prompt %} {{- '<\|im_start\|>assistant\n' }} {%- endif %}
tokenizer.chat_templates	[tool_use]
tokenizer.ggml.bos_token_id	128000
tokenizer.ggml.eos_token_id	128040
tokenizer.ggml.merges	[Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
tokenizer.ggml.model	gpt2
tokenizer.ggml.padding_token_id	128040
tokenizer.ggml.pre	llama-bpe
tokenizer.ggml.token_type	[1, 1, 1, 1, 1, ...]
tokenizer.ggml.tokens	[!, ", #, $, %, ...]

META LLAMA 3 COMMUNITY LICENSE AGREEMENT Meta Llama 3 Version Release Date: April 18, 2024

“Agreement” means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein.

“Documentation” means the specifications, manuals and documentation accompanying Meta Llama 3 distributed by Meta at https://llama.meta.com/get-started/.

“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf.

“Meta Llama 3” means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://llama.meta.com/llama-downloads.

“Llama Materials” means, collectively, Meta’s proprietary Meta Llama 3 and Documentation (and any portion thereof) made available under this Agreement.

“Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).

By clicking “I Accept” below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement.

License Rights and Redistribution.

a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Meta’s intellectual property or other rights owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials.

b. Redistribution and Use.

  i. If you distribute or make available the Llama Materials (or any derivative works

thereof), or a product or service that uses any of them, including another AI model, you shall (A) provide a copy of this Agreement with any such Llama Materials; and (B) prominently display “Built with Meta Llama 3” on a related website, user interface, blogpost, about page, or product documentation. If you use the Llama Materials to create, train, fine tune, or otherwise improve an AI model, which is distributed or made available, you shall also include “Llama 3” at the beginning of any such AI model name.

  ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part

of an integrated end user product, then Section 2 of this Agreement will not apply to you.

  iii. You must retain in all copies of the Llama Materials that you distribute the following

attribution notice within a “Notice” text file distributed as a part of such copies: “Meta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.”

  iv. Your use of the Llama Materials must comply with applicable laws and regulations

(including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available at https://llama.meta.com/llama3/use-policy), which is hereby incorporated by reference into this Agreement.

  v. You will not use the Llama Materials or any output or results of the Llama Materials to

improve any other large language model (excluding Meta Llama 3 or derivative works thereof).

Additional Commercial Terms. If, on the Meta Llama 3 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights.
Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.
Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.
Intellectual Property.

a. No trademark licenses are granted under this Agreement, and in connection with the Llama Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you a license to use “Llama 3” (the “Mark”) solely as required to comply with the last sentence of Section 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at https://about.meta.com/brand/resources/meta/company-brand/ ). All goodwill arising out of your use of the Mark will inure to the benefit of Meta.

b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the Llama Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications.

c. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Meta Llama 3 outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the Llama Materials.

Term and Termination. The term of this Agreement will commence upon your acceptance of this Agreement or access to the Llama Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.
Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement.

DETAILS

MODEL CLASS

MAX Model

MAX Models are extremely optimized inference pipelines to run SOTA performance for that model on both CPU and GPU. For many of these models, they are the fastest version of this model in the world.

Browse 18+ MAX Models

MODULAR GITHUB

Modular

CREATED BY

NousResearch

MODEL

NousResearch/Hermes-3-Llama-3.1-8B