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Model: cminst/Llama-Nemotron-8B-templatefixes Source: Original Platform
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.ipynb_checkpoints/chat_template-checkpoint.jinja
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.ipynb_checkpoints/chat_template-checkpoint.jinja
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{%- if messages[0]['role'] == 'system' -%}
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{%- set system_message = messages[0]['content'] | trim -%}
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{%- set messages = messages[1:] -%}
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{%- else -%}
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{%- set system_message = '' -%}
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{%- endif -%}
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{%- if tools is not none -%}
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{{- '<|begin_of_text|><|start_header_id|>system<|end_header_id|>' + '\n\n' + system_message -}}
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{{- '\n\n' if system_message else '' -}}
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{{- '<AVAILABLE_TOOLS>[' -}}
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{% for t in tools %}
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{{- (t.function if t.function is defined else t) | tojson() -}}
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{{- ', ' if not loop.last else '' -}}
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{%- endfor -%}
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{{- ']</AVAILABLE_TOOLS>' -}}
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{{- '<|eot_id|>' -}}
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{%- else -%}
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{{- '<|begin_of_text|><|start_header_id|>system<|end_header_id|>' + '\n\n' + system_message + '<|eot_id|>' -}}
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{%- endif -%}
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{%- for message in messages -%}
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{%- if (message['role'] in ['user', 'tool']) != (loop.index0 % 2 == 0) -%}
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{{- raise_exception('Conversation roles must alternate between user/tool and assistant') -}}
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{%- elif message['role'] == 'user' -%}
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{{- '<|start_header_id|>user<|end_header_id|>' + '\n\n' + message['content'] | trim + '<|eot_id|>' -}}
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{%- elif message['role'] == 'tool' -%}
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{%- set tool_response = '<TOOL_RESPONSE>[' + message['content'] | trim + ']</TOOL_RESPONSE>' -%}
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{{- '<|start_header_id|>user<|end_header_id|>' + '\n\n' + tool_response + '<|eot_id|>' -}}
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{%- elif message['role'] == 'assistant' and message.get('tool_calls') is not none -%}
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{%- set tool_calls = message['tool_calls'] -%}
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{% generation %}
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{{- '<|start_header_id|>assistant<|end_header_id|>' + '\n\n' + '<TOOLCALL>[' -}}
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{%- for tool_call in tool_calls -%}
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{{ '{' + '"name": "' + tool_call.function.name + '", "arguments": ' + tool_call.function.arguments | tojson + '}' }}
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{%- if not loop.last -%}
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{{ ', ' }}
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{%- else -%}
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{{ ']</TOOLCALL>' + '<|eot_id|>' }}
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{%- endif -%}
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{%- endfor -%}
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{% endgeneration %}
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{%- elif message['role'] == 'assistant' -%}
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{% generation %}
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{{- '<|start_header_id|>assistant<|end_header_id|>' + '\n\n' + message['content'] | trim + '<|eot_id|>' -}}
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{% endgeneration %}
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{%- endif -%}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{% generation %}
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{{ '<|start_header_id|>assistant<|end_header_id|>' + '\n\n' }}
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{% endgeneration %}
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{%- endif -%}
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BIN
.ipynb_checkpoints/tokenizer-checkpoint.json
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.ipynb_checkpoints/tokenizer-checkpoint.json
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.ipynb_checkpoints/tokenizer_config-checkpoint.json
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Load Diff
58
README.md
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README.md
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---
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library_name: transformers
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license: other
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license_name: nvidia-open-model-license
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license_link: >-
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https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
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pipeline_tag: text-generation
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language:
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- en
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tags:
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- nvidia
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- llama-3
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- pytorch
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---
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# Llama-3.1-Nemotron-Nano-8B-v1
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Note: chat template forces reasoning to be on via the system prompt! Any additional system prompt will throw an error.
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Example:
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_id = "cminst/Llama-Nemotron-8B-templatefixes"
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# Load tokenizer + override chat template
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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# ---- Test conversation ----
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messages = [
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{"role": "user", "content": "Solve x*(sin(x)+2)=0"}
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]
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# Apply template
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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return_tensors="pt",
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add_generation_prompt=True
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)
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print("START")
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print(inputs,end="")
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print("END")
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```
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gives:
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```
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START
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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detailed thinking on<|eot_id|><|start_header_id|>user<|end_header_id|>
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Solve x*(sin(x)+2)=0<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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END
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```
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4
bias.md
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bias.md
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|Field:|Response:|
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|:---|:---|
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|Participation considerations from adversely impacted groups (protected classes) in model design and testing:|None|
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|Measures taken to mitigate against unwanted bias:|None|
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1
chat_template.jinja
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chat_template.jinja
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{%- for message in messages -%}{%- if message['role'] == 'system' -%}{{- raise_exception('System prompts are not allowed for this template; reasoning is always on.') -}}{%- endif -%}{%- endfor -%}{%- set system_message = 'detailed thinking on' -%}{%- if tools is not none -%}{{- '<|begin_of_text|><|start_header_id|>system<|end_header_id|>' + '\n\n' + system_message -}}{{- '\n\n' -}}{{- '<AVAILABLE_TOOLS>[' -}}{% for t in tools %}{{- (t.function if t.function is defined else t) | tojson() -}}{{- ', ' if not loop.last else '' -}}{%- endfor -%}{{- ']</AVAILABLE_TOOLS>' -}}{{- '<|eot_id|>' -}}{%- else -%}{{- '<|begin_of_text|><|start_header_id|>system<|end_header_id|>' + '\n\n' + system_message + '<|eot_id|>' -}}{%- endif -%}{%- for message in messages -%}{%- if (message['role'] in ['user', 'tool']) != (loop.index0 % 2 == 0) -%}{{- raise_exception('Conversation roles must alternate between user/tool and assistant') -}}{%- elif message['role'] == 'user' -%}{{- '<|start_header_id|>user<|end_header_id|>' + '\n\n' + message['content'] | trim + '<|eot_id|>' -}}{%- elif message['role'] == 'tool' -%}{%- set tool_response = '<TOOL_RESPONSE>[' + message['content'] | trim + ']</TOOL_RESPONSE>' -%}{{- '<|start_header_id|>user<|end_header_id|>' + '\n\n' + tool_response + '<|eot_id|>' -}}{%- elif message['role'] == 'assistant' and message.get('tool_calls') is not none -%}{%- set tool_calls = message['tool_calls'] -%}{{- '<|start_header_id|>assistant<|end_header_id|>' + '\n\n' + '<TOOLCALL>[' -}}{%- for tool_call in tool_calls -%}{{ '{"name": "' + tool_call.function.name + '", "arguments": ' + tool_call.function.arguments | tojson + '}' }}{%- if not loop.last -%}{{ ', ' }}{%- else -%}{{ ']</TOOLCALL>' + '<|eot_id|>' }}{%- endif -%}{%- endfor -%}{%- elif message['role'] == 'assistant' -%}{{- '<|start_header_id|>assistant<|end_header_id|>' + '\n\n' + message['content'] | trim + '<|eot_id|>' -}}{%- endif -%}{%- endfor -%}{%- if add_generation_prompt -%}{{- '<|start_header_id|>assistant<|end_header_id|>' + '\n\n' -}}{%- endif -%}
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40
config.json
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config.json
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{
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"_name_or_path": "nvidia/Llama-3.1-Nemotron-Nano-8B-v1",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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||||
"rope_theta": 500000.0,
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||||
"tie_word_embeddings": false,
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||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.47.1",
|
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"use_cache": true,
|
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"vocab_size": 128256
|
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}
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||||
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explainability.md
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explainability.md
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|Field:|Response:|
|
||||
|:---|:---|
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||||
|Intended Application(s) & Domain(s):|Text generation, reasoning, summarization, and question answering.|
|
||||
|Model Type: |Text-to-text transformer |
|
||||
|Intended Users:|This model is intended for developers, researchers, and customers building/utilizing LLMs, while balancing accuracy and efficiency.|
|
||||
|Output:|Text String(s)|
|
||||
|Describe how the model works:|Generates text by predicting the next word or token based on the context provided in the input sequence using multiple self-attention layers.|
|
||||
|Technical Limitations:|The model was trained on data that contains toxic language, unsafe content, and societal biases originally crawled from the internet. Therefore, the model may amplify those biases and return toxic responses especially when prompted with toxic prompts. The model may generate answers that may be inaccurate, omit key information, or include irrelevant or redundant text producing socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive.<br><br>The model demonstrates weakness to alignment-breaking attacks. Users are advised to deploy language model guardrails alongside this model to prevent potentially harmful outputs.<br><br>The Model may generate answers that are inaccurate, omit key information, or include irrelevant or redundant text.|
|
||||
|Verified to have met prescribed quality standards?|Yes|
|
||||
|Performance Metrics:|Accuracy, Throughput, and user-side throughput|
|
||||
|Potential Known Risks:|The model was optimized explicitly for instruction following and as such is more susceptible to prompt injection and jailbreaking in various forms as a result of its instruction tuning. This means that the model should be paired with additional rails or system filtering to limit exposure to instructions from malicious sources -- either directly or indirectly by retrieval (e.g. via visiting a website) -- as they may yield outputs that can lead to harmful, system-level outcomes up to and including remote code execution in agentic systems when effective security controls including guardrails are not in place.<br><br>The model was trained on data that contains toxic language and societal biases originally crawled from the internet. Therefore, the model may amplify those biases and return toxic responses especially when prompted with toxic prompts. The model may generate answers that may be inaccurate, omit key information, or include irrelevant or redundant text producing socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive.|
|
||||
|End User License Agreement:|Your use of this model is governed by the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/). Additional Information: [Llama 3.1 Community License Agreement](https://www.llama.com/llama3_1/license/). Built with Llama.|
|
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generation_config.json
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generation_config.json
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{
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"bos_token_id": 128000,
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|
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|
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],
|
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"temperature": 0.6,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.47.1"
|
||||
}
|
||||
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}
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||||
}
|
||||
9
privacy.md
Normal file
9
privacy.md
Normal file
@@ -0,0 +1,9 @@
|
||||
|Field:|Response:|
|
||||
|:---|:---|
|
||||
|Generatable or Reverse engineerable personally-identifiable information?|None|
|
||||
|Was consent obtained for any personal data used?|None Known|
|
||||
|Personal data used to create this model?|None Known|
|
||||
|How often is dataset reviewed?|Before Release|
|
||||
|Is there provenance for all datasets used in training?|Yes|
|
||||
|Does data labeling (annotation, metadata) comply with privacy laws?|Yes|
|
||||
|Applicable NVIDIA Privacy Policy|https://www.nvidia.com/en-us/about-nvidia/privacy-policy/|
|
||||
6
safety.md
Normal file
6
safety.md
Normal file
@@ -0,0 +1,6 @@
|
||||
|Field:|Response:|
|
||||
|:---|:---|
|
||||
|Model Application(s):|Chat, Instruction Following, Chatbot Development, Code Generation, Reasoning|
|
||||
|Describe life critical application (if present):|None Known (please see referenced Known Risks in the Explainability subcard).|
|
||||
|Use Case Restrictions:|Your use of this model is governed by the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/). Additional Information: [Llama 3.1 Community License Agreement](https://www.llama.com/llama3_1/license/). Built with Llama.|
|
||||
|Model and Dataset Restrictions:|The Principle of least privilege (PoLP) is applied limiting access for dataset generation. Restrictions enforce dataset access during training, and dataset license constraints adhered to. Model checkpoints are made available on Hugging Face and NGC, and may become available on cloud providers' model catalog.|
|
||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2062
tokenizer_config.json
Normal file
2062
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user