Instructions to use webai-community/ai-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use webai-community/ai-models with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="webai-community/ai-models", filename="CodeLlama-7b-Instruct-hf/gguf/codellama-7b-instruct.Q4_K_M.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use webai-community/ai-models with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf webai-community/ai-models:Q4_K_M # Run inference directly in the terminal: llama-cli -hf webai-community/ai-models:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf webai-community/ai-models:Q4_K_M # Run inference directly in the terminal: llama-cli -hf webai-community/ai-models:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf webai-community/ai-models:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf webai-community/ai-models:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf webai-community/ai-models:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf webai-community/ai-models:Q4_K_M
Use Docker
docker model run hf.co/webai-community/ai-models:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use webai-community/ai-models with Ollama:
ollama run hf.co/webai-community/ai-models:Q4_K_M
- Unsloth Studio new
How to use webai-community/ai-models with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for webai-community/ai-models to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for webai-community/ai-models to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for webai-community/ai-models to start chatting
- Docker Model Runner
How to use webai-community/ai-models with Docker Model Runner:
docker model run hf.co/webai-community/ai-models:Q4_K_M
- Lemonade
How to use webai-community/ai-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull webai-community/ai-models:Q4_K_M
Run and chat with the model
lemonade run user.ai-models-Q4_K_M
List all available models
lemonade list
Upload folder using huggingface_hub
Browse files- granite-3.1-8b-instruct/README.md +18 -0
- granite-3.1-8b-instruct/gguf/granite-3.1-8b-instruct-Q4_K_M.gguf +3 -0
- granite-3.1-8b-instruct/onnx-webgpu/added_tokens.json +5 -0
- granite-3.1-8b-instruct/onnx-webgpu/chat_template.jinja +64 -0
- granite-3.1-8b-instruct/onnx-webgpu/genai_config.json +56 -0
- granite-3.1-8b-instruct/onnx-webgpu/merges.txt +0 -0
- granite-3.1-8b-instruct/onnx-webgpu/model.onnx +3 -0
- granite-3.1-8b-instruct/onnx-webgpu/model.onnx.data +3 -0
- granite-3.1-8b-instruct/onnx-webgpu/special_tokens_map.json +35 -0
- granite-3.1-8b-instruct/onnx-webgpu/tokenizer.json +0 -0
- granite-3.1-8b-instruct/onnx-webgpu/tokenizer_config.json +198 -0
- granite-3.1-8b-instruct/onnx-webgpu/vocab.json +0 -0
granite-3.1-8b-instruct/README.md
ADDED
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# granite-3.1-8b-instruct
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## GenAI WebGPU Model
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Generated using `onnxruntime_genai.models.builder`
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- **onnxruntime-genai commit**: `41c4ce18fec1240c2f848725e31fbe8854010188`
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- **transformers version**: `4.57.0`
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- **Precision**: int4
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- **Execution Provider**: webgpu
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```
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python -m onnxruntime_genai.models.builder -p int4 -e webgpu -m ibm-granite/granite-3.1-8b-instruct -o E:\ai-models\granite-3.1-8b-instruct\onnx-webgpu\ --extra_options int4_algo_config=rtn_last int4_is_symmetric=true prune_lm_head=true enable_webgpu_graph=true
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```
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## GGUF Model
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Downloaded from: [lmstudio-community/granite-3.1-8b-instruct-GGUF](https://huggingface.co/lmstudio-community/granite-3.1-8b-instruct-GGUF)
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granite-3.1-8b-instruct/gguf/granite-3.1-8b-instruct-Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:71d205af3019b8e722273b79f518e86099a4771ca01f60ca12f1aa7d42ae773e
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size 4942858432
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granite-3.1-8b-instruct/onnx-webgpu/added_tokens.json
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{
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"<|end_of_role|>": 49153,
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"<|start_of_role|>": 49152,
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"<|tool_call|>": 49154
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}
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granite-3.1-8b-instruct/onnx-webgpu/chat_template.jinja
ADDED
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{%- if messages[0]['role'] == 'system' %}
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{%- set system_message = messages[0]['content'] %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "Knowledge Cutoff Date: April 2024.
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+
Today's Date: " + strftime_now('%B %d, %Y') + ".
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+
You are Granite, developed by IBM." %}
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| 8 |
+
{%- if tools and documents %}
|
| 9 |
+
{%- set system_message = system_message + " You are a helpful AI assistant with access to the following tools. When a tool is required to answer the user's query, respond with <|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.
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| 10 |
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Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data." %}
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{%- elif tools %}
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| 13 |
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{%- set system_message = system_message + " You are a helpful AI assistant with access to the following tools. When a tool is required to answer the user's query, respond with <|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request." %}
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| 14 |
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{%- elif documents %}
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| 15 |
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{%- set system_message = system_message + " Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data." %}
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| 16 |
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{%- else %}
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{%- set system_message = system_message + " You are a helpful AI assistant." %}
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| 18 |
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{%- endif %}
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| 19 |
+
{%- if 'citations' in controls and documents %}
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| 20 |
+
{%- set system_message = system_message + '
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In your response, use the symbols <co> and </co> to indicate when a fact comes from a document in the search result, e.g <co>0</co> for a fact from document 0. Afterwards, list all the citations with their corresponding documents in an ordered list.' %}
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| 23 |
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{%- endif %}
|
| 24 |
+
{%- if 'hallucinations' in controls and documents %}
|
| 25 |
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{%- set system_message = system_message + '
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| 26 |
+
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| 27 |
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Finally, after the response is written, include a numbered list of sentences from the response that are potentially hallucinated and not based in the documents.' %}
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| 28 |
+
{%- endif %}
|
| 29 |
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{%- set loop_messages = messages %}
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| 30 |
+
{%- endif %}
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| 31 |
+
{{- '<|start_of_role|>system<|end_of_role|>' + system_message + '<|end_of_text|>
|
| 32 |
+
' }}
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| 33 |
+
{%- if tools %}
|
| 34 |
+
{{- '<|start_of_role|>tools<|end_of_role|>' }}
|
| 35 |
+
{{- tools | tojson(indent=4) }}
|
| 36 |
+
{{- '<|end_of_text|>
|
| 37 |
+
' }}
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| 38 |
+
{%- endif %}
|
| 39 |
+
{%- if documents %}
|
| 40 |
+
{{- '<|start_of_role|>documents<|end_of_role|>' }}
|
| 41 |
+
{%- for document in documents %}
|
| 42 |
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{{- 'Document ' + loop.index0 | string + '
|
| 43 |
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' }}
|
| 44 |
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{{- document['text'] }}
|
| 45 |
+
{%- if not loop.last %}
|
| 46 |
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{{- '
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| 47 |
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| 48 |
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'}}
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| 49 |
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{%- endif%}
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| 50 |
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{%- endfor %}
|
| 51 |
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{{- '<|end_of_text|>
|
| 52 |
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' }}
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| 53 |
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{%- endif %}
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{%- for message in loop_messages %}
|
| 55 |
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{{- '<|start_of_role|>' + message['role'] + '<|end_of_role|>' + message['content'] + '<|end_of_text|>
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| 56 |
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' }}
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| 57 |
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{%- if loop.last and add_generation_prompt %}
|
| 58 |
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{{- '<|start_of_role|>assistant' }}
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| 59 |
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{%- if controls %}
|
| 60 |
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{{- ' ' + controls | tojson()}}
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| 61 |
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{%- endif %}
|
| 62 |
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{{- '<|end_of_role|>' }}
|
| 63 |
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{%- endif %}
|
| 64 |
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{%- endfor %}
|
granite-3.1-8b-instruct/onnx-webgpu/genai_config.json
ADDED
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{
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"model": {
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"context_length": 131072,
|
| 5 |
+
"decoder": {
|
| 6 |
+
"session_options": {
|
| 7 |
+
"log_id": "onnxruntime-genai",
|
| 8 |
+
"provider_options": [
|
| 9 |
+
{
|
| 10 |
+
"webgpu": {
|
| 11 |
+
"enableGraphCapture": "0",
|
| 12 |
+
"validationMode": "disabled"
|
| 13 |
+
}
|
| 14 |
+
}
|
| 15 |
+
]
|
| 16 |
+
},
|
| 17 |
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"filename": "model.onnx",
|
| 18 |
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"head_size": 128,
|
| 19 |
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"hidden_size": 4096,
|
| 20 |
+
"inputs": {
|
| 21 |
+
"input_ids": "input_ids",
|
| 22 |
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"attention_mask": "attention_mask",
|
| 23 |
+
"past_key_names": "past_key_values.%d.key",
|
| 24 |
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"past_value_names": "past_key_values.%d.value"
|
| 25 |
+
},
|
| 26 |
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"outputs": {
|
| 27 |
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"logits": "logits",
|
| 28 |
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"present_key_names": "present.%d.key",
|
| 29 |
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"present_value_names": "present.%d.value"
|
| 30 |
+
},
|
| 31 |
+
"num_attention_heads": 32,
|
| 32 |
+
"num_hidden_layers": 40,
|
| 33 |
+
"num_key_value_heads": 8
|
| 34 |
+
},
|
| 35 |
+
"eos_token_id": 0,
|
| 36 |
+
"pad_token_id": 0,
|
| 37 |
+
"type": "granite",
|
| 38 |
+
"vocab_size": 49155
|
| 39 |
+
},
|
| 40 |
+
"search": {
|
| 41 |
+
"diversity_penalty": 0,
|
| 42 |
+
"do_sample": false,
|
| 43 |
+
"early_stopping": true,
|
| 44 |
+
"length_penalty": 1,
|
| 45 |
+
"max_length": 131072,
|
| 46 |
+
"min_length": 0,
|
| 47 |
+
"no_repeat_ngram_size": 0,
|
| 48 |
+
"num_beams": 1,
|
| 49 |
+
"num_return_sequences": 1,
|
| 50 |
+
"past_present_share_buffer": true,
|
| 51 |
+
"repetition_penalty": 1,
|
| 52 |
+
"temperature": 1,
|
| 53 |
+
"top_k": 50,
|
| 54 |
+
"top_p": 1
|
| 55 |
+
}
|
| 56 |
+
}
|
granite-3.1-8b-instruct/onnx-webgpu/merges.txt
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granite-3.1-8b-instruct/onnx-webgpu/model.onnx
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eae9557632a703c5ef363c3a3f04cdb00513caaa7d61566fcfcd1bb70cd83240
|
| 3 |
+
size 322830
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granite-3.1-8b-instruct/onnx-webgpu/model.onnx.data
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:474c99cd3a7f8289fd2742736a83f46be935f8c2cd011bc981df075fb452e605
|
| 3 |
+
size 4730925056
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granite-3.1-8b-instruct/onnx-webgpu/special_tokens_map.json
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+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|start_of_role|>",
|
| 4 |
+
"<|end_of_role|>",
|
| 5 |
+
"<|tool_call|>"
|
| 6 |
+
],
|
| 7 |
+
"bos_token": {
|
| 8 |
+
"content": "<|end_of_text|>",
|
| 9 |
+
"lstrip": false,
|
| 10 |
+
"normalized": false,
|
| 11 |
+
"rstrip": false,
|
| 12 |
+
"single_word": false
|
| 13 |
+
},
|
| 14 |
+
"eos_token": {
|
| 15 |
+
"content": "<|end_of_text|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false
|
| 20 |
+
},
|
| 21 |
+
"pad_token": {
|
| 22 |
+
"content": "<|end_of_text|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false
|
| 27 |
+
},
|
| 28 |
+
"unk_token": {
|
| 29 |
+
"content": "<|end_of_text|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false
|
| 34 |
+
}
|
| 35 |
+
}
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granite-3.1-8b-instruct/onnx-webgpu/tokenizer.json
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granite-3.1-8b-instruct/onnx-webgpu/tokenizer_config.json
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|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<|end_of_text|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<fim_prefix>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "<fim_middle>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"3": {
|
| 30 |
+
"content": "<fim_suffix>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"4": {
|
| 38 |
+
"content": "<fim_pad>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"5": {
|
| 46 |
+
"content": "<filename>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"6": {
|
| 54 |
+
"content": "<gh_stars>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"7": {
|
| 62 |
+
"content": "<issue_start>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"8": {
|
| 70 |
+
"content": "<issue_comment>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"9": {
|
| 78 |
+
"content": "<issue_closed>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"10": {
|
| 86 |
+
"content": "<jupyter_start>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"11": {
|
| 94 |
+
"content": "<jupyter_text>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"12": {
|
| 102 |
+
"content": "<jupyter_code>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"13": {
|
| 110 |
+
"content": "<jupyter_output>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"14": {
|
| 118 |
+
"content": "<empty_output>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": true
|
| 124 |
+
},
|
| 125 |
+
"15": {
|
| 126 |
+
"content": "<commit_before>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": true
|
| 132 |
+
},
|
| 133 |
+
"16": {
|
| 134 |
+
"content": "<commit_msg>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": true
|
| 140 |
+
},
|
| 141 |
+
"17": {
|
| 142 |
+
"content": "<commit_after>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": true
|
| 148 |
+
},
|
| 149 |
+
"18": {
|
| 150 |
+
"content": "<reponame>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": true
|
| 156 |
+
},
|
| 157 |
+
"49152": {
|
| 158 |
+
"content": "<|start_of_role|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": true
|
| 164 |
+
},
|
| 165 |
+
"49153": {
|
| 166 |
+
"content": "<|end_of_role|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": true
|
| 172 |
+
},
|
| 173 |
+
"49154": {
|
| 174 |
+
"content": "<|tool_call|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": true
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|start_of_role|>",
|
| 184 |
+
"<|end_of_role|>",
|
| 185 |
+
"<|tool_call|>"
|
| 186 |
+
],
|
| 187 |
+
"bos_token": "<|end_of_text|>",
|
| 188 |
+
"clean_up_tokenization_spaces": true,
|
| 189 |
+
"eos_token": "<|end_of_text|>",
|
| 190 |
+
"errors": "replace",
|
| 191 |
+
"extra_special_tokens": {},
|
| 192 |
+
"model_max_length": 131072,
|
| 193 |
+
"pad_token": "<|end_of_text|>",
|
| 194 |
+
"padding_side": "left",
|
| 195 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 196 |
+
"unk_token": "<|end_of_text|>",
|
| 197 |
+
"vocab_size": 49152
|
| 198 |
+
}
|
granite-3.1-8b-instruct/onnx-webgpu/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|