zcyzcyzcy/qwen3-1.7b-jf-v2math811-ar10
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: zcyzcyzcy/qwen3-1.7b-jf-v2math811-ar10
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-03 18:43:31 +08:00
commit 0f2a038051
13 changed files with 303952 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

35
.gitattributes vendored Normal file
View File

@@ -0,0 +1,35 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bz2 filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.ftz filter=lfs diff=lfs merge=lfs -text
*.gz filter=lfs diff=lfs merge=lfs -text
*.h5 filter=lfs diff=lfs merge=lfs -text
*.joblib filter=lfs diff=lfs merge=lfs -text
*.lfs.* filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.onnx filter=lfs diff=lfs merge=lfs -text
*.ot filter=lfs diff=lfs merge=lfs -text
*.parquet filter=lfs diff=lfs merge=lfs -text
*.pb filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
*.safetensors filter=lfs diff=lfs merge=lfs -text
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.tar.* filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.tflite filter=lfs diff=lfs merge=lfs -text
*.tgz filter=lfs diff=lfs merge=lfs -text
*.wasm filter=lfs diff=lfs merge=lfs -text
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text

99
README.md Normal file
View File

@@ -0,0 +1,99 @@
---
license: apache-2.0
base_model: Qwen/Qwen3-1.7B
tags:
- jacobi-forcing
- speculative-decoding
- qwen3
- text-generation
language:
- en
pipeline_tag: text-generation
---
# Qwen3-1.7B Jacobi Forcing (v2math811, AR×10)
Jacobi-Forcing fine-tune of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) trained on a mixed code + math trajectory dataset (`v2math811`). Produces output identical in quality to the base AR model while supporting **Jacobi parallel decoding for ~1.5–1.7× wall-clock speedup**.
## Highlights
- **Lossless quality**: HumanEval pass@1 / GSM8K accuracy match base AR generation (within noise).
- **Speedup**: 1.65× on HumanEval, 1.53× on GSM8K (vs greedy AR, same model).
- **Drop-in compatible** with HuggingFace `AutoModelForCausalLM` for AR generation. Jacobi inference requires the [JacobiForcing repo](https://github.com/) (custom forward kernel).
## Training recipe
Continued from base Qwen3-1.7B with the consistency + AR loss from the [JacobiForcing](https://arxiv.org/abs/2403.00835) paper:
| Setting | Value |
| --- | --- |
| Base | `Qwen/Qwen3-1.7B` |
| Dataset | code (OpenCodeInstruct buckets 8-11) + math (OpenThought2 buckets 8-11), 26 510 trajectory samples after traj_count ≤ 3 filter |
| Strategy | progressive noise window, N=32, window=16 |
| Epochs | 1 |
| Optimizer | AdamW |
| LR | 5e-6 (cosine, warmup 0.03) |
| Batch | per-device 1 × grad-accum 4 = 4 |
| Precision | bf16 |
| `AR_LOSS_WEIGHT` | **10** (paper default; tested 20 — slightly worse Jacobi acceptance) |
| GPU | 1× A100-80GB, ~4h47m |
## Benchmarks (1× A100, greedy)
| Bench | AR pass@1 / acc | Jacobi pass@1 / acc | AR tok/s | Jacobi tok/s | Speedup |
| --- | ---: | ---: | ---: | ---: | ---: |
| HumanEval (n=164) | 60.4 % | **61.0 %** | 37.2 | 61.3 | **1.65×** |
| GSM8K (n=653 subset) | 72.4 % | **74.3 %** | 38.0 | 58.3 | **1.53×** |
Jacobi internals (HumanEval): tok/iter = 1.74, average accept-window 87 % of N=32.
## Usage — standard AR
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
ckpt = "zcyzcyzcy/qwen3-1.7b-jf-v2math811-ar10"
tok = AutoTokenizer.from_pretrained(ckpt)
model = AutoModelForCausalLM.from_pretrained(
ckpt, torch_dtype=torch.bfloat16, device_map="cuda"
)
msgs = [{"role": "user", "content": "Write a Python is_prime(n)."}]
inp = tok.apply_chat_template(
msgs, tokenize=False, add_generation_prompt=True, enable_thinking=False
)
ids = tok(inp, return_tensors="pt").to("cuda")
out = model.generate(**ids, max_new_tokens=200, do_sample=False)
print(tok.decode(out[0][ids["input_ids"].shape[1]:], skip_special_tokens=True))
```
## Usage — Jacobi parallel decoding
Jacobi inference uses a custom `jacobi_forward_greedy` registered on `Qwen3ForCausalLM`. See the [JacobiForcing repo](https://github.com/) for the full inference script, or use the snippet:
```python
from transformers import Qwen3ForCausalLM
from generate_trajectory.generation.qwen3_modeling_jacobi_forcing_greedy import (
jacobi_forward_greedy,
)
Qwen3ForCausalLM.jacobi_forward_greedy = jacobi_forward_greedy
# ... call model.jacobi_forward_greedy(...) for prefill + generation phases.
```
The model checkpoint itself is a standard Qwen3 — no architecture changes — so any speculative-decoding framework that accepts a Qwen3 base model can drive it.
## Citation
```bibtex
@article{kou2024cllm,
title={CLLMs: Consistency Large Language Models},
author={Kou, Siqi and Hu, Lanxiang and He, Zhezhi and Deng, Zhijie and Zhang, Hao},
journal={arXiv preprint arXiv:2403.00835},
year={2024}
}
```
## License
Apache 2.0, inherited from the base Qwen3-1.7B model.

28
added_tokens.json Normal file
View File

@@ -0,0 +1,28 @@
{
"</think>": 151668,
"</tool_call>": 151658,
"</tool_response>": 151666,
"<think>": 151667,
"<tool_call>": 151657,
"<tool_response>": 151665,
"<|box_end|>": 151649,
"<|box_start|>": 151648,
"<|endoftext|>": 151643,
"<|file_sep|>": 151664,
"<|fim_middle|>": 151660,
"<|fim_pad|>": 151662,
"<|fim_prefix|>": 151659,
"<|fim_suffix|>": 151661,
"<|im_end|>": 151645,
"<|im_start|>": 151644,
"<|image_pad|>": 151655,
"<|object_ref_end|>": 151647,
"<|object_ref_start|>": 151646,
"<|quad_end|>": 151651,
"<|quad_start|>": 151650,
"<|repo_name|>": 151663,
"<|video_pad|>": 151656,
"<|vision_end|>": 151653,
"<|vision_pad|>": 151654,
"<|vision_start|>": 151652
}

89
chat_template.jinja Normal file
View File

@@ -0,0 +1,89 @@
{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0].role == 'system' %}
{{- messages[0].content + '\n\n' }}
{%- endif %}
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nFor each function 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><|im_end|>\n" }}
{%- else %}
{%- if messages[0].role == 'system' %}
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for message in messages[::-1] %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if message.content is string %}
{%- set content = message.content %}
{%- else %}
{%- set content = '' %}
{%- endif %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is string %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '</think>' in content %}
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
{%- if loop.index0 > ns.last_query_index %}
{%- if loop.last or (not loop.last and reasoning_content) %}
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- if message.tool_calls %}
{%- for tool_call in message.tool_calls %}
{%- if (loop.first and content) 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 %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '<think>\n\n</think>\n\n' }}
{%- endif %}
{%- endif %}

60
config.json Normal file
View File

@@ -0,0 +1,60 @@
{
"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 6144,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 40960,
"max_window_layers": 28,
"model_type": "qwen3",
"num_attention_heads": 16,
"num_hidden_layers": 28,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 1000000,
"sliding_window": null,
"tie_word_embeddings": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.53.1",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 151936
}

13
generation_config.json Normal file
View File

@@ -0,0 +1,13 @@
{
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"temperature": 0.6,
"top_k": 20,
"top_p": 0.95,
"transformers_version": "4.53.1"
}

151388
merges.txt Normal file
View File

File diff suppressed because it is too large Load Diff

3
pytorch_model-00001-of-00002.bin Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dc5699890a1717efdd1518822cbbb16915f5db8c43b6096ef911dd4c5c787a80
size 4969247421

3
pytorch_model-00002-of-00002.bin Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4b230d43dfdea15118ada46dac6d01d860d52232fbd1958b31cb544626bb1287
size 1913158707

318
pytorch_model.bin.index.json Normal file
View File

@@ -0,0 +1,318 @@
{
"metadata": {
"total_size": 6882299904
},
"weight_map": {
"lm_head.weight": "pytorch_model-00001-of-00002.bin",
"model.embed_tokens.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.0.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.0.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.0.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.0.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.1.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.1.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.1.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.1.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.10.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.10.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.10.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.10.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.10.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.10.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.10.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.10.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.10.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.10.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.10.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.11.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.11.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.11.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.11.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.11.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.11.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.11.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.11.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.11.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.11.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.11.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.12.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.12.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.12.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.12.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.12.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.12.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.12.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.12.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.12.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.12.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.12.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.13.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.13.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.13.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.13.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.13.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.13.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.13.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.13.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.13.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.13.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.13.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.14.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.14.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.14.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.14.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.14.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.14.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.14.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.14.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.14.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.14.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.14.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.15.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.15.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.15.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.15.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.15.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.15.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.15.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.15.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.15.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.15.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.15.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.16.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.16.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.16.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.16.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.16.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.16.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.16.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.16.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.16.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.16.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.16.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.17.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.17.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.17.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.17.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.17.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.17.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.17.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.17.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.17.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.17.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.17.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.18.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.18.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.18.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.18.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.18.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.18.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.18.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.18.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.18.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.18.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.18.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.19.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.19.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.2.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.2.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.2.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.2.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.20.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.20.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.21.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.22.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.23.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.24.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.25.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.26.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.27.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.3.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.3.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.3.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.3.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.4.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.4.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.4.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.4.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.5.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.5.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.5.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.5.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.6.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.6.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.6.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.6.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.7.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.7.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.7.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.8.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.8.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.8.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.9.self_attn.k_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.9.self_attn.q_norm.weight": "pytorch_model-00002-of-00002.bin",
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
"model.norm.weight": "pytorch_model-00002-of-00002.bin"
}
}

31
special_tokens_map.json Normal file
View File

@@ -0,0 +1,31 @@
{
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"eos_token": {
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

240
tokenizer_config.json Normal file
View File

@@ -0,0 +1,240 @@
{
"add_bos_token": false,
"add_prefix_space": false,
"added_tokens_decoder": {
"151643": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151644": {
"content": "<|im_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151645": {
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151646": {
"content": "<|object_ref_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151647": {
"content": "<|object_ref_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151648": {
"content": "<|box_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151649": {
"content": "<|box_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151650": {
"content": "<|quad_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151651": {
"content": "<|quad_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151652": {
"content": "<|vision_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151653": {
"content": "<|vision_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151654": {
"content": "<|vision_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151655": {
"content": "<|image_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151656": {
"content": "<|video_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151657": {
"content": "<tool_call>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151658": {
"content": "</tool_call>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151659": {
"content": "<|fim_prefix|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151660": {
"content": "<|fim_middle|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151661": {
"content": "<|fim_suffix|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151662": {
"content": "<|fim_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151663": {
"content": "<|repo_name|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151664": {
"content": "<|file_sep|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151665": {
"content": "<tool_response>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151666": {
"content": "</tool_response>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151667": {
"content": "<think>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151668": {
"content": "</think>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
}
},
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": {},
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"padding_side": "right",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

151645
vocab.json Normal file
View File

File diff suppressed because it is too large Load Diff