W8A8 INT8 of ibm-granite/granite-4.1-8b (SmoothQuant 0.8 -> GPTQ damp 0.1, 512 calib samples)
Browse files- README.md +146 -0
- chat_template.jinja +114 -0
- config.json +82 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +651 -0
- recipe.yaml +22 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +783 -0
- vocab.json +0 -0
README.md
ADDED
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| 1 |
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---
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license: apache-2.0
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license_link: https://www.apache.org/licenses/LICENSE-2.0
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language:
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- en
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base_model:
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- ibm-granite/granite-4.1-8b
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- w8a8
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- int8
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- vllm
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- compressed-tensors
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- llm-compressor
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- granite
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---
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# granite-4.1-8b-quantized.w8a8
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INT8 (W8A8) `compressed-tensors` quantization of
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[ibm-granite/granite-4.1-8b](https://huggingface.co/ibm-granite/granite-4.1-8b).
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+
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- **Weights:** INT8, symmetric, **per-channel**
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- **Activations:** INT8, symmetric, **dynamic per-token**
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- **Scope:** only `Linear` layers inside the transformer blocks; `lm_head` is
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left in BF16 (the base model has `tie_word_embeddings: true`, so quantizing it
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would also perturb the input embedding)
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- **Method:** post-training, one-shot SmoothQuant → GPTQ via
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[llm-compressor](https://github.com/vllm-project/llm-compressor)
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- **Size:** 8.96 GiB on disk. The linear weights halve; the tied
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embedding matrix, the norms and `lm_head` stay BF16, so the whole-checkpoint
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saving is smaller than 2× (and smaller the smaller the model, since the
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100k-entry vocab is a larger share of it)
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- **Tooling:** llmcompressor 0.9.0.4, compressed-tensors 0.13.0,
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transformers 4.57.3
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+
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> **Purpose.** This checkpoint was produced for **inference-performance
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> benchmarking** (INT8/AMX on Xeon and INT8 kernels on GPU). **No accuracy
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> evaluation was run on it** — see [Accuracy](#accuracy) before using it for
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> anything where quality matters.
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## Deployment with vLLM
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| 44 |
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```bash
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vllm serve devpramod-intel/granite-4.1-8b-quantized.w8a8 --max-model-len 32768
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```
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```python
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from vllm import LLM, SamplingParams
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from transformers import AutoTokenizer
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model_id = "devpramod-intel/granite-4.1-8b-quantized.w8a8"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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llm = LLM(model=model_id, max_model_len=4096)
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prompt = tokenizer.apply_chat_template(
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[{"role": "user", "content": "Who are you? Please respond in pirate speak!"}],
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tokenize=False, add_generation_prompt=True,
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)
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print(llm.generate(prompt, SamplingParams(temperature=0.3, max_tokens=256))[0].outputs[0].text)
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```
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## Creation
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```bash
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python quantize_w8a8_granite41.py \
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--model-dir ibm-granite/granite-4.1-8b \
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--out granite-4.1-8b-quantized.w8a8 \
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--smoothing-strength 0.8 --dampening-frac 0.1 \
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--observer mse --num-samples 512
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```
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Recipe:
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```yaml
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quant_stage:
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quant_modifiers:
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SmoothQuantModifier:
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smoothing_strength: 0.8
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ignore: [lm_head]
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mappings:
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- - ['re:.*q_proj', 're:.*k_proj', 're:.*v_proj']
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- re:.*input_layernorm
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- - ['re:.*gate_proj', 're:.*up_proj']
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- re:.*post_attention_layernorm
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- - ['re:.*down_proj']
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- re:.*up_proj
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GPTQModifier:
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targets: [Linear]
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ignore: [lm_head]
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scheme: W8A8
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dampening_frac: 0.1
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weight_observer: mse
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sequential_targets: [GraniteDecoderLayer]
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```
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Calibration: `neuralmagic/LLM_compression_calibration`, `train` split,
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`shuffle(seed=42).select(512)`, the dataset's raw `text` field with
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`add_special_tokens=True`, `max_seq_length=8192`.
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## Recipe provenance
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Every knob is taken from Red Hat AI's published `recipe.yaml` files for the
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nearest architectural precedents — `ibm-granite/granite-4.1-8b` is a dense
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`GraniteForCausalLM` with Llama-style blocks (q/k/v + gate/up/down, RMSNorm), so
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the Granite 3.1 W8A8 recipes transfer directly.
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| Precedent | Relationship | Knobs it contributes |
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|---|---|---|
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| [RedHatAI/granite-3.1-8b-instruct-quantized.w8a8](https://huggingface.co/RedHatAI/granite-3.1-8b-instruct-quantized.w8a8) | same family, same class, same size class | `smoothing_strength=0.8`, llama mappings, `dampening_frac=0.1`, weight observer `mse`, INT8 channel-weight / token-dynamic-activation config group |
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| [RedHatAI/granite-3.1-2b-instruct-quantized.w8a8](https://huggingface.co/RedHatAI/granite-3.1-2b-instruct-quantized.w8a8) | smaller sibling | confirms the same structure at small scale (it uses 0.7 / 0.01) |
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| [RedHatAI/granite-4.1-8b-fp8](https://huggingface.co/RedHatAI/granite-4.1-8b-fp8) | Red Hat's own quantization of this generation | confirms `targets=[Linear]`, `ignore=[lm_head]` is the whole story for granite-4.1 — no MoE/vision special-casing |
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Deliberate deviations from those cards:
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- **512 calibration samples** instead of the Granite cards' 3072 — W8A8 is far
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less calibration-sensitive than W4A16, and 512 is the llm-compressor default.
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- **`max_seq_length=8192`**, not the `8196` printed on the Granite cards (a typo).
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- **`sequential_targets` set** to the decoder-layer class, following current
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Red Hat cards; it lowers peak VRAM and does not change the result.
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## Accuracy
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**No accuracy benchmark was run on this checkpoint.** It exists to measure
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throughput and latency. The figures below are *estimates by precedent*, not
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measurements of this model, and should not be quoted as such:
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| Evidence | Measured recovery vs BF16 |
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|---|---|
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| `granite-3.1-8b-instruct` W8A8, identical recipe (Red Hat card) | OpenLLM v1 **99.95%** (70.26 vs 70.30), OpenLLM v2 98.64%, HumanEval 99.3% |
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| `granite-3.1-2b-instruct` W8A8 (Red Hat card) | OpenLLM v1 **99.52%** (61.68 vs 61.98) |
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| a granite-**4.1**-8b derivative quantized with this exact script (internal, 7-dataset classification basket) | aggregate ≈**99.4%**, 46/48 byte-identical decodes on CPU |
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| 135 |
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On that basis the expected recovery here is **~99–100% on knowledge/reasoning
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| 136 |
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multiple-choice suites and ~98–99% on generative suites**. If you need a number
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you can defend, run `lm-eval` against both this checkpoint and the BF16 base and
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report the ratio.
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## Verification performed
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- `config.json` → `quantization_config`: `format: int-quantized`, weights
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`num_bits 8 / channel / symmetric / observer mse`, input activations
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| 144 |
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`num_bits 8 / token / dynamic`, `ignore: ["lm_head"]`
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- all quantized weights and scales checked finite (no NaN/Inf)
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- checkpoint loads and generates coherent text
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chat_template.jinja
ADDED
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| 1 |
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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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| 2 |
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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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| 16 |
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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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| 18 |
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{%- set ns.tools_system_message = '' %}
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| 19 |
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{%- endif %}
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| 20 |
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{%- if documents %}
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| 21 |
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{%- for document in documents %}
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| 22 |
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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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| 24 |
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{%- set ns.documents_system_message = ns.documents_system_message + documents_system_message_suffix %}
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| 25 |
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{%- else %}
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| 26 |
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{%- set ns.documents_system_message = '' %}
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| 27 |
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{%- endif %}
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| 28 |
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{%- if messages[0].role == 'system' %}
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| 29 |
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{%- if messages[0].content is string %}
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| 30 |
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{%- set ns.system_message = messages[0].content %}
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| 31 |
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{%- elif messages[0].content is iterable %}
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| 32 |
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{%- for entry in messages[0].content %}
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| 33 |
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{%- if entry.type== 'text' %}
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| 34 |
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{%- if ns.system_message != '' %}
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| 35 |
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{%- set ns.system_message = ns.system_message + '\n' %}
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| 36 |
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{%- endif %}
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| 37 |
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{%- set ns.system_message = ns.system_message + entry.text %}
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| 38 |
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{%- endif %}
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| 39 |
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{%- endfor %}
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| 40 |
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{%- endif %}
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| 41 |
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{%- if tools and documents %}
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| 42 |
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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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| 43 |
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{%- elif tools %}
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| 44 |
+
{%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message %}
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| 45 |
+
{%- elif documents %}
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| 46 |
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{%- set ns.system_message = ns.system_message + '\n\n' + ns.documents_system_message %}
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| 47 |
+
{%- endif %}
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| 48 |
+
{%- else %}
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| 49 |
+
{%- if tools and documents %}
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| 50 |
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{%- set ns.system_message = ns.tools_system_message + '\n\n' + ns.documents_system_message %}
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| 51 |
+
{%- elif tools %}
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| 52 |
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{%- set ns.system_message = ns.tools_system_message %}
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| 53 |
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{%- elif documents %}
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| 54 |
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{%- set ns.system_message = ns.documents_system_message %}
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| 55 |
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{%- endif %}
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| 56 |
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{%- endif %}
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| 57 |
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{%- if ns.system_message %}
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| 58 |
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{{- '<|start_of_role|>system<|end_of_role|>' + ns.system_message + '<|end_of_text|>\n' }}
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| 59 |
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{%- endif %}
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| 60 |
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{%- for message in messages %}
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| 61 |
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{%- set content = namespace(val='') %}
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| 62 |
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{%- if message.content is string %}
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| 63 |
+
{%- set content.val = message.content %}
|
| 64 |
+
{%- else %}
|
| 65 |
+
{%- if message.content is iterable %}
|
| 66 |
+
{%- for entry in message.content %}
|
| 67 |
+
{%- if entry.type== 'text' %}
|
| 68 |
+
{%- if content.val != '' %}
|
| 69 |
+
{%- set content.val = content.val + '\n' %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{%- set content.val = content.val + entry.text %}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
{%- endfor %}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- if (message.role == 'user') or (message.role == 'system' and not loop.first) %}
|
| 77 |
+
{{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val + '<|end_of_text|>\n' }}
|
| 78 |
+
{%- elif message.role == 'assistant' %}
|
| 79 |
+
{{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val }}
|
| 80 |
+
{%- if message.tool_calls %}
|
| 81 |
+
{%- for tool_call in message.tool_calls %}
|
| 82 |
+
{%- if (loop.first and content.val) or (not loop.first) %}
|
| 83 |
+
{{- '\n' }}
|
| 84 |
+
{%- endif %}
|
| 85 |
+
{%- if tool_call.function %}
|
| 86 |
+
{%- set tool_call = tool_call.function %}
|
| 87 |
+
{%- endif %}
|
| 88 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 89 |
+
{{- tool_call.name }}
|
| 90 |
+
{{- '", "arguments": ' }}
|
| 91 |
+
{%- if tool_call.arguments is string %}
|
| 92 |
+
{{- tool_call.arguments }}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{{- tool_call.arguments | tojson }}
|
| 95 |
+
{%- endif %}
|
| 96 |
+
{{- '}\n</tool_call>' }}
|
| 97 |
+
{%- endfor %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{{- '<|end_of_text|>\n' }}
|
| 100 |
+
{%- elif message.role == 'tool' %}
|
| 101 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != 'tool') %}
|
| 102 |
+
{{- '<|start_of_role|>user<|end_of_role|>' }}
|
| 103 |
+
{%- endif %}
|
| 104 |
+
{{- '\n<tool_response>\n' }}
|
| 105 |
+
{{- content.val }}
|
| 106 |
+
{{- '\n</tool_response>' }}
|
| 107 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %}
|
| 108 |
+
{{- '<|end_of_text|>\n' }}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- endif %}
|
| 111 |
+
{%- endfor %}
|
| 112 |
+
{%- if add_generation_prompt %}
|
| 113 |
+
{{- '<|start_of_role|>assistant<|end_of_role|>' }}
|
| 114 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"GraniteForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attention_multiplier": 0.0078125,
|
| 8 |
+
"bos_token_id": 100257,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"embedding_multiplier": 12.0,
|
| 11 |
+
"eos_token_id": 100257,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 4096,
|
| 14 |
+
"initializer_range": 0.1,
|
| 15 |
+
"intermediate_size": 12800,
|
| 16 |
+
"logits_scaling": 16.0,
|
| 17 |
+
"max_position_embeddings": 131072,
|
| 18 |
+
"mlp_bias": false,
|
| 19 |
+
"model_type": "granite",
|
| 20 |
+
"num_attention_heads": 32,
|
| 21 |
+
"num_hidden_layers": 40,
|
| 22 |
+
"num_key_value_heads": 8,
|
| 23 |
+
"pad_token_id": 100256,
|
| 24 |
+
"quantization_config": {
|
| 25 |
+
"config_groups": {
|
| 26 |
+
"group_0": {
|
| 27 |
+
"format": "int-quantized",
|
| 28 |
+
"input_activations": {
|
| 29 |
+
"actorder": null,
|
| 30 |
+
"block_structure": null,
|
| 31 |
+
"dynamic": true,
|
| 32 |
+
"group_size": null,
|
| 33 |
+
"num_bits": 8,
|
| 34 |
+
"observer": null,
|
| 35 |
+
"observer_kwargs": {},
|
| 36 |
+
"scale_dtype": null,
|
| 37 |
+
"strategy": "token",
|
| 38 |
+
"symmetric": true,
|
| 39 |
+
"type": "int",
|
| 40 |
+
"zp_dtype": null
|
| 41 |
+
},
|
| 42 |
+
"output_activations": null,
|
| 43 |
+
"targets": [
|
| 44 |
+
"Linear"
|
| 45 |
+
],
|
| 46 |
+
"weights": {
|
| 47 |
+
"actorder": null,
|
| 48 |
+
"block_structure": null,
|
| 49 |
+
"dynamic": false,
|
| 50 |
+
"group_size": null,
|
| 51 |
+
"num_bits": 8,
|
| 52 |
+
"observer": "mse",
|
| 53 |
+
"observer_kwargs": {},
|
| 54 |
+
"scale_dtype": null,
|
| 55 |
+
"strategy": "channel",
|
| 56 |
+
"symmetric": true,
|
| 57 |
+
"type": "int",
|
| 58 |
+
"zp_dtype": null
|
| 59 |
+
}
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"format": "int-quantized",
|
| 63 |
+
"global_compression_ratio": null,
|
| 64 |
+
"ignore": [
|
| 65 |
+
"lm_head"
|
| 66 |
+
],
|
| 67 |
+
"kv_cache_scheme": null,
|
| 68 |
+
"quant_method": "compressed-tensors",
|
| 69 |
+
"quantization_status": "compressed",
|
| 70 |
+
"sparsity_config": {},
|
| 71 |
+
"transform_config": {},
|
| 72 |
+
"version": "0.13.0"
|
| 73 |
+
},
|
| 74 |
+
"residual_multiplier": 0.22,
|
| 75 |
+
"rms_norm_eps": 1e-05,
|
| 76 |
+
"rope_scaling": null,
|
| 77 |
+
"rope_theta": 10000000,
|
| 78 |
+
"tie_word_embeddings": true,
|
| 79 |
+
"transformers_version": "4.57.3",
|
| 80 |
+
"use_cache": true,
|
| 81 |
+
"vocab_size": 100352
|
| 82 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 100257,
|
| 4 |
+
"eos_token_id": 100257,
|
| 5 |
+
"pad_token_id": 100256,
|
| 6 |
+
"transformers_version": "4.57.3"
|
| 7 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d82092eb9835ab5cfd321610d547aae42e08b7169f23e481e5b7c8b9ea3e6be
|
| 3 |
+
size 4955508336
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b23c6b4c17b63accb9e4b668cdd05d43efd8878838e7d1eaf0c13cfec663582
|
| 3 |
+
size 4661769328
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,651 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 650 |
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}
|
| 651 |
+
}
|
recipe.yaml
ADDED
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+
default_stage:
|
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default_modifiers:
|
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+
SmoothQuantModifier:
|
| 4 |
+
smoothing_strength: 0.8
|
| 5 |
+
mappings:
|
| 6 |
+
- - ['re:.*q_proj', 're:.*k_proj', 're:.*v_proj']
|
| 7 |
+
- re:.*input_layernorm
|
| 8 |
+
- - ['re:.*gate_proj', 're:.*up_proj']
|
| 9 |
+
- re:.*post_attention_layernorm
|
| 10 |
+
- - ['re:.*down_proj']
|
| 11 |
+
- re:.*up_proj
|
| 12 |
+
ignore: [lm_head]
|
| 13 |
+
GPTQModifier:
|
| 14 |
+
targets: [Linear]
|
| 15 |
+
ignore: [lm_head]
|
| 16 |
+
scheme: W8A8
|
| 17 |
+
weight_observer: mse
|
| 18 |
+
sequential_targets: [GraniteDecoderLayer]
|
| 19 |
+
block_size: 128
|
| 20 |
+
dampening_frac: 0.1
|
| 21 |
+
actorder: static
|
| 22 |
+
offload_hessians: false
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
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|
|
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|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|end_of_text|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|end_of_text|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|pad|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<|unk|>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,783 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"100256": {
|
| 6 |
+
"content": "<|pad|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
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| 449 |
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|
| 450 |
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|
| 451 |
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|
| 452 |
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|
| 453 |
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|
| 454 |
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|
| 455 |
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|
| 456 |
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|
| 457 |
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|
| 458 |
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|
| 459 |
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|
| 460 |
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|
| 461 |
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"100313": {
|
| 462 |
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|
| 463 |
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|
| 464 |
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|
| 465 |
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|
| 466 |
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|
| 467 |
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"special": true
|
| 468 |
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|
| 469 |
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|
| 470 |
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|
| 471 |
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|
| 472 |
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|
| 473 |
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|
| 474 |
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|
| 475 |
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"special": true
|
| 476 |
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},
|
| 477 |
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|
| 478 |
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|
| 479 |
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|
| 480 |
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|
| 481 |
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|
| 482 |
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|
| 483 |
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|
| 484 |
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|
| 485 |
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|
| 486 |
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|
| 487 |
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|
| 488 |
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|
| 489 |
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|
| 490 |
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|
| 491 |
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"special": true
|
| 492 |
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},
|
| 493 |
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|
| 494 |
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| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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"single_word": false,
|
| 499 |
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"special": true
|
| 500 |
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|
| 501 |
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|
| 502 |
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|
| 503 |
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|
| 504 |
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|
| 505 |
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|
| 506 |
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"single_word": false,
|
| 507 |
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"special": true
|
| 508 |
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},
|
| 509 |
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"100319": {
|
| 510 |
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|
| 511 |
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|
| 512 |
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|
| 513 |
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|
| 514 |
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"single_word": false,
|
| 515 |
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"special": true
|
| 516 |
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},
|
| 517 |
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"100320": {
|
| 518 |
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"content": "<|unused_51|>",
|
| 519 |
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|
| 520 |
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|
| 521 |
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|
| 522 |
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|
| 523 |
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"special": true
|
| 524 |
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},
|
| 525 |
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"100321": {
|
| 526 |
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|
| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
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|
| 531 |
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"special": true
|
| 532 |
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|
| 533 |
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|
| 534 |
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|
| 535 |
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|
| 536 |
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|
| 537 |
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|
| 538 |
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|
| 539 |
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"special": true
|
| 540 |
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},
|
| 541 |
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|
| 542 |
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|
| 543 |
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|
| 544 |
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|
| 545 |
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|
| 546 |
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"single_word": false,
|
| 547 |
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"special": true
|
| 548 |
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},
|
| 549 |
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"100324": {
|
| 550 |
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|
| 551 |
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|
| 552 |
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|
| 553 |
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|
| 554 |
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"single_word": false,
|
| 555 |
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"special": true
|
| 556 |
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},
|
| 557 |
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"100325": {
|
| 558 |
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"content": "<|unused_56|>",
|
| 559 |
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|
| 560 |
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"normalized": false,
|
| 561 |
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|
| 562 |
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"single_word": false,
|
| 563 |
+
"special": true
|
| 564 |
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},
|
| 565 |
+
"100326": {
|
| 566 |
+
"content": "<|unused_57|>",
|
| 567 |
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|
| 568 |
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|
| 569 |
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|
| 570 |
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|
| 571 |
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"special": true
|
| 572 |
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},
|
| 573 |
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"100327": {
|
| 574 |
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|
| 575 |
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|
| 576 |
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|
| 577 |
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|
| 578 |
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|
| 579 |
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|
| 580 |
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},
|
| 581 |
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"100328": {
|
| 582 |
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|
| 583 |
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|
| 584 |
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|
| 585 |
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|
| 586 |
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|
| 587 |
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"special": true
|
| 588 |
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| 589 |
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|
| 590 |
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|
| 591 |
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| 592 |
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|
| 593 |
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|
| 594 |
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|
| 595 |
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"special": true
|
| 596 |
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},
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| 597 |
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| 598 |
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| 599 |
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|
| 600 |
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| 601 |
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| 602 |
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|
| 603 |
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| 604 |
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| 605 |
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|
| 606 |
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| 607 |
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| 608 |
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| 610 |
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| 611 |
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| 612 |
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| 613 |
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| 614 |
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| 616 |
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| 619 |
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| 620 |
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| 621 |
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|
| 622 |
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| 623 |
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| 626 |
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| 627 |
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| 628 |
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| 629 |
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| 630 |
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| 631 |
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|
| 632 |
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|
| 634 |
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| 635 |
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|
| 636 |
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| 637 |
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| 638 |
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| 639 |
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| 640 |
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| 641 |
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| 642 |
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| 643 |
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| 644 |
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| 645 |
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|
| 646 |
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| 647 |
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| 648 |
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| 649 |
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| 650 |
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| 651 |
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|
| 652 |
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| 653 |
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|
| 654 |
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|
| 655 |
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| 656 |
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| 657 |
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|
| 658 |
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|
| 659 |
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|
| 660 |
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|
| 661 |
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|
| 662 |
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| 663 |
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|
| 664 |
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| 665 |
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| 666 |
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|
| 667 |
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|
| 668 |
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| 669 |
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|
| 670 |
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| 671 |
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|
| 672 |
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|
| 673 |
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|
| 674 |
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|
| 675 |
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|
| 676 |
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| 677 |
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|
| 678 |
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|
| 679 |
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|
| 680 |
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|
| 681 |
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|
| 682 |
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|
| 683 |
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|
| 684 |
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},
|
| 685 |
+
"100341": {
|
| 686 |
+
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|
| 687 |
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|
| 688 |
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|
| 689 |
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|
| 690 |
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|
| 691 |
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|
| 692 |
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|
| 693 |
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|
| 694 |
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|
| 695 |
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|
| 696 |
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|
| 697 |
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|
| 698 |
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|
| 699 |
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|
| 700 |
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|
| 701 |
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|
| 702 |
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|
| 703 |
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|
| 704 |
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|
| 705 |
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|
| 706 |
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|
| 707 |
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|
| 708 |
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|
| 709 |
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|
| 710 |
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|
| 711 |
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|
| 712 |
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|
| 713 |
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|
| 714 |
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|
| 715 |
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|
| 716 |
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|
| 717 |
+
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|
| 718 |
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|
| 719 |
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|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 723 |
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|
| 724 |
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},
|
| 725 |
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|
| 726 |
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|
| 727 |
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|
| 728 |
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|
| 729 |
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|
| 730 |
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|
| 731 |
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|
| 732 |
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|
| 733 |
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|
| 734 |
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|
| 735 |
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|
| 736 |
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|
| 737 |
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|
| 738 |
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|
| 739 |
+
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|
| 740 |
+
},
|
| 741 |
+
"100348": {
|
| 742 |
+
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|
| 743 |
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|
| 744 |
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|
| 745 |
+
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|
| 746 |
+
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|
| 747 |
+
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|
| 748 |
+
},
|
| 749 |
+
"100349": {
|
| 750 |
+
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|
| 751 |
+
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|
| 752 |
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|
| 753 |
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|
| 754 |
+
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|
| 755 |
+
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|
| 756 |
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},
|
| 757 |
+
"100350": {
|
| 758 |
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|
| 759 |
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|
| 760 |
+
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|
| 761 |
+
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|
| 762 |
+
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|
| 763 |
+
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|
| 764 |
+
},
|
| 765 |
+
"100351": {
|
| 766 |
+
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|
| 767 |
+
"lstrip": false,
|
| 768 |
+
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|
| 769 |
+
"rstrip": false,
|
| 770 |
+
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|
| 771 |
+
"special": true
|
| 772 |
+
}
|
| 773 |
+
},
|
| 774 |
+
"bos_token": "<|end_of_text|>",
|
| 775 |
+
"clean_up_tokenization_spaces": false,
|
| 776 |
+
"eos_token": "<|end_of_text|>",
|
| 777 |
+
"extra_special_tokens": {},
|
| 778 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 779 |
+
"pad_token": "<|pad|>",
|
| 780 |
+
"padding_side": "left",
|
| 781 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 782 |
+
"unk_token": "<|unk|>"
|
| 783 |
+
}
|
vocab.json
ADDED
|
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|
|
|