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Model: pranavbapat/granite-4.1-8b-awq Source: Original Platform
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README.md
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---
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license: apache-2.0
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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base_model: ibm-granite/granite-4.1-8b
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base_model_relation: quantized
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tags:
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- granite
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- awq
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- w4a16
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- compressed-tensors
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- llmcompressor
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- quantized
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- vllm
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---
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# Granite 4.1-8B — AWQ W4A16
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4-bit AWQ quantization of [`ibm-granite/granite-4.1-8b`](https://huggingface.co/ibm-granite/granite-4.1-8b),
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produced with [`llm-compressor`](https://github.com/vllm-project/llm-compressor) 0.6.0.1.
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The result is a ~5.8 GB checkpoint (down from ~17 GB BF16) that loads on a single 24 GB GPU
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with comfortable KV-cache headroom and serves natively in [vLLM](https://github.com/vllm-project/vllm)
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via the AWQ-Marlin kernels.
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## Quantization details
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| Setting | Value |
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| --- | --- |
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| Method | AWQ (Activation-aware Weight Quantization) |
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| Scheme | W4A16 asymmetric, group size 128 |
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| Ignored modules | `lm_head` |
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| Targeted modules | All `Linear` layers |
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| Calibration dataset | `HuggingFaceH4/ultrachat_200k` (`train_sft` split) |
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| Calibration samples | 256 |
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| Max sequence length | 2048 |
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| Tool | `llmcompressor==0.6.0.1` |
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| Output format | `compressed-tensors` (safetensors, sharded) |
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The exact recipe used:
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```python
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from llmcompressor.modifiers.awq import AWQModifier
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recipe = [
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AWQModifier(
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ignore=["lm_head"],
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scheme="W4A16_ASYM",
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targets=["Linear"],
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)
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]
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```
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The full machine-readable recipe is also included in this repo as
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[`recipe.yaml`](./recipe.yaml).
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## Serving with vLLM
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```bash
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vllm serve pranavbapat/granite-4.1-8b-awq \
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--quantization awq_marlin \
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--dtype auto \
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--max-model-len 8192 \
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--gpu-memory-utilization 0.90 \
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--served-model-name granite-4.1-8b-awq
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```
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Then hit the OpenAI-compatible endpoint:
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```bash
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curl http://localhost:8000/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "granite-4.1-8b-awq",
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"messages": [{"role": "user", "content": "Hello!"}],
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"max_tokens": 64
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}'
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```
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Tested with `vllm==0.8.5.post1`, `torch==2.6.0+cu124`, NVIDIA L40S (Ada, sm_89).
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## Loading with `transformers`
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "pranavbapat/granite-4.1-8b-awq"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
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prompt = tokenizer.apply_chat_template(
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[{"role": "user", "content": "Briefly: what is photosynthesis?"}],
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tokenize=False,
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add_generation_prompt=True,
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)
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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out = model.generate(**inputs, max_new_tokens=128)
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print(tokenizer.decode(out[0], skip_special_tokens=True))
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```
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For best decode speed prefer the vLLM path — `transformers` will run the model in a
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dequantized form on most architectures.
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## Hardware compatibility
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| Device | Status |
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| --- | --- |
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| NVIDIA Hopper (H100/H200) | ✅ via vLLM AWQ-Marlin |
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| NVIDIA Ada Lovelace (L40S, RTX 4090) | ✅ via vLLM AWQ-Marlin |
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| NVIDIA Ampere (A100, A10, RTX 3090) | ✅ via vLLM AWQ-Marlin |
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| NVIDIA Turing and older | ⚠️ Marlin not supported — use the slower AWQ kernel |
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| AMD / Apple Silicon | ❌ Use the original BF16 model with a different runtime |
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## Files
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||||
|
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| File | Purpose |
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||||
| --- | --- |
|
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| `model-0000{1,2}-of-00002.safetensors` | Quantized weights, sharded |
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| `model.safetensors.index.json` | Shard map |
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| `config.json`, `generation_config.json` | Model + generation config |
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| `tokenizer.json`, `tokenizer_config.json`, `vocab.json`, `merges.txt`, `special_tokens_map.json`, `chat_template.jinja` | Tokenizer files |
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| `recipe.yaml` | llm-compressor recipe used for this quantization |
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## Limitations
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- AWQ is a **lossy** post-training quantization. Expect a small quality regression vs. the BF16 base — typically ≤ 1% on most reasoning benchmarks, but task-dependent.
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- Calibration was done on `ultrachat_200k`, which biases towards English chat-style prompts. For domain-specific deployments (code, legal, medical, multilingual), re-calibrate on a representative sample of your own data for best fidelity.
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- Inherits all behavioural and safety characteristics of the base model. See the [original Granite 4.1-8B model card](https://huggingface.co/ibm-granite/granite-4.1-8b) for the full picture.
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## Reproducing this checkpoint
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The full pipeline (RunPod setup, quantization, serving, upload) is open and minimal.
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Quantization step:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from llmcompressor.modifiers.awq import AWQModifier
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from llmcompressor import oneshot
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from datasets import load_dataset
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MODEL_ID = "ibm-granite/granite-4.1-8b"
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OUTPUT_DIR = "granite-4.1-8b-awq"
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NUM_SAMPLES = 256
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MAX_SEQ = 2048
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model = AutoModelForCausalLM.from_pretrained(MODEL_ID, torch_dtype="auto", device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
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ds = load_dataset("HuggingFaceH4/ultrachat_200k", split=f"train_sft[:{NUM_SAMPLES}]")
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ds = ds.map(lambda ex: {"text": tokenizer.apply_chat_template(ex["messages"], tokenize=False)})
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ds = ds.map(
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lambda ex: tokenizer(ex["text"], padding=False, max_length=MAX_SEQ, truncation=True, add_special_tokens=False),
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remove_columns=ds.column_names,
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)
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oneshot(
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model=model,
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dataset=ds,
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recipe=[AWQModifier(ignore=["lm_head"], scheme="W4A16_ASYM", targets=["Linear"])],
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max_seq_length=MAX_SEQ,
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num_calibration_samples=NUM_SAMPLES,
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output_dir=OUTPUT_DIR,
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)
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tokenizer.save_pretrained(OUTPUT_DIR)
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```
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On a single L40S this completes in roughly 60–90 minutes.
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## License
|
||||
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This checkpoint inherits the **Apache 2.0** license of the upstream
|
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[`ibm-granite/granite-4.1-8b`](https://huggingface.co/ibm-granite/granite-4.1-8b).
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You are free to use, modify, and redistribute it under the same terms.
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||||
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||||
## Acknowledgments
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||||
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||||
- IBM Research for the [Granite 4.1](https://huggingface.co/ibm-granite/granite-4.1-8b) base model.
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- The [vLLM](https://github.com/vllm-project/vllm) team for AWQ-Marlin kernels.
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||||
- The [llm-compressor](https://github.com/vllm-project/llm-compressor) team for the quantization tooling.
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## Citation
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If you use this model in your work, please also cite the original Granite paper and the AWQ paper:
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```bibtex
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@article{granite2024,
|
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title = {Granite Foundation Models},
|
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author = {{IBM Research}},
|
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year = {2024},
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url = {https://huggingface.co/ibm-granite}
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}
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@inproceedings{lin2024awq,
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title = {AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration},
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author = {Lin, Ji and Tang, Jiaming and Tang, Haotian and Yang, Shang and Chen, Wei-Ming and Wang, Wei-Chen and Xiao, Guangxuan and Dang, Xingyu and Gan, Chuang and Han, Song},
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booktitle = {MLSys},
|
||||
year = {2024}
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}
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```
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chat_template.jinja
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{%- set tools_system_message_prefix = 'You are a helpful assistant with access to the following tools. You may call one or more tools to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>' %}
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{%- set tools_system_message_suffix = '\n</tools>\n\nFor each tool call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>. 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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{%- set documents_system_message_prefix = 'You are a helpful assistant with access to the following documents. You may use one or more documents to assist with the user query.\n\nYou are given a list of documents within <documents></documents> XML tags:\n<documents>' %}
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{%- set documents_system_message_suffix = '\n</documents>\n\nWrite 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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{%- if available_tools is defined and available_tools %}
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{%- set tools = available_tools %}
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{%- endif %}
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{%- set ns = namespace(tools_system_message=tools_system_message_prefix,
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documents_system_message=documents_system_message_prefix,
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system_message=''
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) %}
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{%- if tools %}
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{%- for tool in tools %}
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{%- set ns.tools_system_message = ns.tools_system_message + '\n' + (tool | tojson) %}
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{%- endfor %}
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{%- set ns.tools_system_message = ns.tools_system_message + tools_system_message_suffix %}
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{%- else %}
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{%- set ns.tools_system_message = '' %}
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{%- endif %}
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{%- if documents %}
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{%- for document in documents %}
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{%- set ns.documents_system_message = ns.documents_system_message + '\n' + (document | tojson) %}
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{%- endfor %}
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{%- set ns.documents_system_message = ns.documents_system_message + documents_system_message_suffix %}
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{%- else %}
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{%- set ns.documents_system_message = '' %}
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{%- endif %}
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{%- if messages[0].role == 'system' %}
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{%- if messages[0].content is string %}
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{%- set ns.system_message = messages[0].content %}
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{%- elif messages[0].content is iterable %}
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{%- for entry in messages[0].content %}
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{%- if entry.type== 'text' %}
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{%- if ns.system_message != '' %}
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{%- set ns.system_message = ns.system_message + '\n' %}
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{%- endif %}
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{%- set ns.system_message = ns.system_message + entry.text %}
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{%- endif %}
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||||
{%- endfor %}
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{%- endif %}
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{%- if tools and documents %}
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{%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message + '\n\n' + ns.documents_system_message %}
|
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{%- elif tools %}
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||||
{%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message %}
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||||
{%- elif documents %}
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||||
{%- set ns.system_message = ns.system_message + '\n\n' + ns.documents_system_message %}
|
||||
{%- endif %}
|
||||
{%- else %}
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||||
{%- if tools and documents %}
|
||||
{%- set ns.system_message = ns.tools_system_message + '\n\n' + ns.documents_system_message %}
|
||||
{%- elif tools %}
|
||||
{%- set ns.system_message = ns.tools_system_message %}
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||||
{%- elif documents %}
|
||||
{%- set ns.system_message = ns.documents_system_message %}
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||||
{%- endif %}
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||||
{%- endif %}
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||||
{%- if ns.system_message %}
|
||||
{{- '<|start_of_role|>system<|end_of_role|>' + ns.system_message + '<|end_of_text|>\n' }}
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||||
{%- endif %}
|
||||
{%- for message in messages %}
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||||
{%- set content = namespace(val='') %}
|
||||
{%- if message.content is string %}
|
||||
{%- set content.val = message.content %}
|
||||
{%- else %}
|
||||
{%- if message.content is iterable %}
|
||||
{%- for entry in message.content %}
|
||||
{%- if entry.type== 'text' %}
|
||||
{%- if content.val != '' %}
|
||||
{%- set content.val = content.val + '\n' %}
|
||||
{%- endif %}
|
||||
{%- set content.val = content.val + entry.text %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if (message.role == 'user') or (message.role == 'system' and not loop.first) %}
|
||||
{{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val + '<|end_of_text|>\n' }}
|
||||
{%- elif message.role == 'assistant' %}
|
||||
{{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val }}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content.val) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|end_of_text|>\n' }}
|
||||
{%- elif message.role == 'tool' %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != 'tool') %}
|
||||
{{- '<|start_of_role|>user<|end_of_role|>' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- content.val }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %}
|
||||
{{- '<|end_of_text|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|start_of_role|>assistant<|end_of_role|>' }}
|
||||
{%- endif %}
|
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63
config.json
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config.json
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{
|
||||
"architectures": [
|
||||
"GraniteForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"attention_multiplier": 0.0078125,
|
||||
"bos_token_id": 100257,
|
||||
"embedding_multiplier": 12.0,
|
||||
"eos_token_id": 100257,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.1,
|
||||
"intermediate_size": 12800,
|
||||
"logits_scaling": 16.0,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "granite",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 40,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 100256,
|
||||
"quantization_config": {
|
||||
"config_groups": {
|
||||
"group_0": {
|
||||
"input_activations": null,
|
||||
"output_activations": null,
|
||||
"targets": [
|
||||
"Linear"
|
||||
],
|
||||
"weights": {
|
||||
"actorder": null,
|
||||
"block_structure": null,
|
||||
"dynamic": false,
|
||||
"group_size": 128,
|
||||
"num_bits": 4,
|
||||
"observer": "minmax",
|
||||
"observer_kwargs": {},
|
||||
"strategy": "group",
|
||||
"symmetric": false,
|
||||
"type": "int"
|
||||
}
|
||||
}
|
||||
},
|
||||
"format": "pack-quantized",
|
||||
"global_compression_ratio": null,
|
||||
"ignore": [
|
||||
"lm_head"
|
||||
],
|
||||
"kv_cache_scheme": null,
|
||||
"quant_method": "compressed-tensors",
|
||||
"quantization_status": "compressed"
|
||||
},
|
||||
"residual_multiplier": 0.22,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 10000000,
|
||||
"tie_word_embeddings": true,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.52.4",
|
||||
"use_cache": true,
|
||||
"vocab_size": 100352
|
||||
}
|
||||
7
generation_config.json
Normal file
7
generation_config.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 100257,
|
||||
"eos_token_id": 100257,
|
||||
"pad_token_id": 100256,
|
||||
"transformers_version": "4.52.4"
|
||||
}
|
||||
100001
merges.txt
Normal file
100001
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model-00001-of-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b17be54ef33bf9acb2ee66eb18ab8f9dd4147a17cca7ba4b313e0b19624d0345
|
||||
size 4963128272
|
||||
3
model-00002-of-00002.safetensors
Normal file
3
model-00002-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:efbb790104c96ed50dd1bb81e9f4d9b3dbdebee5acbf7eb79601189fc8c65cab
|
||||
size 822083712
|
||||
1210
model.safetensors.index.json
Normal file
1210
model.safetensors.index.json
Normal file
File diff suppressed because it is too large
Load Diff
6
recipe.yaml
Normal file
6
recipe.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
default_stage:
|
||||
default_modifiers:
|
||||
AWQModifier:
|
||||
targets: [Linear]
|
||||
ignore: [lm_head]
|
||||
scheme: W4A16_ASYM
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<|unk|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
501269
tokenizer.json
Normal file
501269
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
783
tokenizer_config.json
Normal file
783
tokenizer_config.json
Normal file
@@ -0,0 +1,783 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"100256": {
|
||||
"content": "<|pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100257": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100258": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100259": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100260": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100261": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100262": {
|
||||
"content": "<|filename|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100263": {
|
||||
"content": "<|reponame|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100264": {
|
||||
"content": "<|start_of_role|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100265": {
|
||||
"content": "<|end_of_role|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100266": {
|
||||
"content": "<|unused_1|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100267": {
|
||||
"content": "<|start_of_plugin|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100268": {
|
||||
"content": "<|end_of_plugin|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100269": {
|
||||
"content": "<|unk|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100270": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100271": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100272": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100273": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100274": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100275": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"100276": {
|
||||
"content": "<think_on>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100277": {
|
||||
"content": "<think_off>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100278": {
|
||||
"content": "<schema>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100279": {
|
||||
"content": "</schema>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100280": {
|
||||
"content": "<tools>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100281": {
|
||||
"content": "</tools>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100282": {
|
||||
"content": "<documents>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100283": {
|
||||
"content": "</documents>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100284": {
|
||||
"content": "<|unused_15|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100285": {
|
||||
"content": "<|unused_16|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100286": {
|
||||
"content": "<|unused_17|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100287": {
|
||||
"content": "<|unused_18|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100288": {
|
||||
"content": "<|unused_19|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100289": {
|
||||
"content": "<|unused_20|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100290": {
|
||||
"content": "<|unused_21|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100291": {
|
||||
"content": "<|unused_22|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100292": {
|
||||
"content": "<|unused_23|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100293": {
|
||||
"content": "<|unused_24|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100294": {
|
||||
"content": "<|unused_25|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100295": {
|
||||
"content": "<|unused_26|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100296": {
|
||||
"content": "<|unused_27|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100297": {
|
||||
"content": "<|unused_28|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100298": {
|
||||
"content": "<|unused_29|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100299": {
|
||||
"content": "<|unused_30|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100300": {
|
||||
"content": "<|unused_31|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100301": {
|
||||
"content": "<|unused_32|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100302": {
|
||||
"content": "<|unused_33|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100303": {
|
||||
"content": "<|unused_34|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100304": {
|
||||
"content": "<|unused_35|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100305": {
|
||||
"content": "<|unused_36|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100306": {
|
||||
"content": "<|unused_37|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100307": {
|
||||
"content": "<|unused_38|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100308": {
|
||||
"content": "<|unused_39|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100309": {
|
||||
"content": "<|unused_40|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100310": {
|
||||
"content": "<|unused_41|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100311": {
|
||||
"content": "<|unused_42|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100312": {
|
||||
"content": "<|unused_43|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100313": {
|
||||
"content": "<|unused_44|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100314": {
|
||||
"content": "<|unused_45|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100315": {
|
||||
"content": "<|unused_46|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100316": {
|
||||
"content": "<|unused_47|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100317": {
|
||||
"content": "<|unused_48|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100318": {
|
||||
"content": "<|unused_49|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100319": {
|
||||
"content": "<|unused_50|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100320": {
|
||||
"content": "<|unused_51|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100321": {
|
||||
"content": "<|unused_52|>",
|
||||
"lstrip": false,
|
||||
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|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100322": {
|
||||
"content": "<|unused_53|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100323": {
|
||||
"content": "<|unused_54|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100324": {
|
||||
"content": "<|unused_55|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100325": {
|
||||
"content": "<|unused_56|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100326": {
|
||||
"content": "<|unused_57|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100327": {
|
||||
"content": "<|unused_58|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100328": {
|
||||
"content": "<|unused_59|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100329": {
|
||||
"content": "<|unused_60|>",
|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100330": {
|
||||
"content": "<|unused_61|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100331": {
|
||||
"content": "<|unused_62|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100332": {
|
||||
"content": "<|unused_63|>",
|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100333": {
|
||||
"content": "<|unused_64|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100334": {
|
||||
"content": "<|unused_65|>",
|
||||
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|
||||
"normalized": false,
|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100335": {
|
||||
"content": "<|unused_66|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100336": {
|
||||
"content": "<|unused_67|>",
|
||||
"lstrip": false,
|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100337": {
|
||||
"content": "<|unused_68|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100338": {
|
||||
"content": "<|unused_69|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100339": {
|
||||
"content": "<|unused_70|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100340": {
|
||||
"content": "<|unused_71|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100341": {
|
||||
"content": "<|unused_72|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100342": {
|
||||
"content": "<|unused_73|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100343": {
|
||||
"content": "<|unused_74|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100344": {
|
||||
"content": "<|unused_75|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100345": {
|
||||
"content": "<|unused_76|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100346": {
|
||||
"content": "<|unused_77|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100347": {
|
||||
"content": "<|unused_78|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100348": {
|
||||
"content": "<|unused_79|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100349": {
|
||||
"content": "<|unused_80|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100350": {
|
||||
"content": "<|unused_81|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"100351": {
|
||||
"content": "<|unused_82|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<|end_of_text|>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|end_of_text|>",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "<|pad|>",
|
||||
"padding_side": "left",
|
||||
"tokenizer_class": "GPT2Tokenizer",
|
||||
"unk_token": "<|unk|>"
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user