From 10139cb98f49d4ec432eac525a961f1566480dca Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 24 Sep 2026 11:29:16 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: tiiuae/Falcon-H1R-7B Source: Original Platform --- .eval_results/gpqa.yaml | 8 + .eval_results/hle.yaml | 7 + .eval_results/mmlu_pro.yaml | 7 + .gitattributes | 53 + README.md | 451 ++ chat_template.jinja | 101 + config.json | 64 + configuration.json | 1 + generation_config.json | 7 + model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 758 +++ special_tokens_map.json | 862 +++ tokenizer.json | 3 + tokenizer_config.json | 9140 ++++++++++++++++++++++++++++++ 17 files changed, 11474 insertions(+) create mode 100644 .eval_results/gpqa.yaml create mode 100644 .eval_results/hle.yaml create mode 100644 .eval_results/mmlu_pro.yaml create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 configuration.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.eval_results/gpqa.yaml b/.eval_results/gpqa.yaml new file mode 100644 index 0000000..d81d72c --- /dev/null +++ b/.eval_results/gpqa.yaml @@ -0,0 +1,8 @@ +- dataset: + id: Idavidrein/gpqa + task_id: gpqa_diamond + value: 61.3 + date: '2026-01-15' + source: + url: https://huggingface.co/tiiuae/Falcon-H1R-7B + name: Model Card diff --git a/.eval_results/hle.yaml b/.eval_results/hle.yaml new file mode 100644 index 0000000..2297ffb --- /dev/null +++ b/.eval_results/hle.yaml @@ -0,0 +1,7 @@ +- dataset: + id: cais/hle + value: 11.1 + date: '2026-01-15' + source: + url: https://huggingface.co/tiiuae/Falcon-H1R-7B + name: Model Card diff --git a/.eval_results/mmlu_pro.yaml b/.eval_results/mmlu_pro.yaml new file mode 100644 index 0000000..5be2feb --- /dev/null +++ b/.eval_results/mmlu_pro.yaml @@ -0,0 +1,7 @@ +- dataset: + id: TIGER-Lab/MMLU-Pro + value: 72.1 + date: '2026-01-15' + source: + url: https://huggingface.co/tiiuae/Falcon-H1R-7B + name: Model Card diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..0209885 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,53 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin 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+tokenizer.json filter=lfs diff=lfs merge=lfs -text +model-00001-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text +model-00003-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text +model-00002-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text +model-00004-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..6248260 --- /dev/null +++ b/README.md @@ -0,0 +1,451 @@ +--- +base_model: +- tiiuae/Falcon-H1-7B-Base +language: +- en +library_name: transformers +pipeline_tag: text-generation +license: other +license_name: falcon-llm-license +license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html +tags: +- falcon-h1r +--- + +drawing + +# Falcon-H1R-7B + +This repository presents **Falcon-H1R-7B**, a reasoning-specialized model introduced in the paper [Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling](https://huggingface.co/papers/2601.02346). + +Built on top of [Falcon-H1-7B-Base](https://huggingface.co/tiiuae/Falcon-H1-7B-Base), it was trained via cold-start supervised fine-tuning with long reasoning traces and further enhanced by scaling RL with GRPO. The model demonstrates outstanding performance across various benchmark evaluations, including mathematics, programming, instruction following, and general logic. + +## Model Description + +- **Developed by:** [Technology Innovation Institute](https://www.tii.ae) +- **Model type:** Causal decoder-only +- **Architecture:** Hybrid (Transformers + Mamba2) architecture +- **Language(s):** English, Multilingual +- **License:** [Falcon-LLM License](https://falconllm.tii.ae/falcon-terms-and-conditions.html) + +## Training details + +For more details about the training protocol of this model, please refer to the [Falcon-H1R technical blogpost](https://falcon-lm.github.io/blog/falcon-h1r-7b) and [Technical Report](https://github.com/tiiuae/falcon-h1r/blob/main/tech_report.pdf). + +# Usage + +Currently to use this model, you can either rely on Hugging Face `transformers`, `vLLM` or `SGLang` library. + +## Inference + +Make sure to install the latest version of `transformers` or `vLLM` or `SGLang`. + +```bash +pip install transformers +pip install mamba-ssm[causal-conv1d] +``` + +For vLLM, make sure to install `vllm=0.11.0`: + +```bash +pip install "vllm>=0.11.0" +``` + +## Sampling Parameters + +We recommend using a **temperature** of **0.6** and **top-p** as **0.95** with max new tokens up to 65536. +For supported frameworks, you can adjust the repetition_penalty and presence_penalty parameters to reduce endless repetitions. +For reasoning tasks with continuous batching and requiring higher max new tokens, we recommend to use TP=2. + +## 🤗 Transformers + +Refer to the snippet below to run H1R models using 🤗 transformers. +Model will generate think content wrapped in a `...` block, followed by the final response. + +
+ Click to expand + +```python +from transformers import AutoTokenizer, AutoModelForCausalLM +model_id = "tiiuae/Falcon-H1R-7B" +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", dtype="auto") + +messages = [ + {"role": "user", "content": "What is the derivative of x^2?"}, +] +inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt") + +outputs = model.generate( + inputs.to(model.device), + max_new_tokens=65536, + temperature=0.6, + top_p=0.95, + do_sample=True, +) +print(tokenizer.decode(outputs[0])) +``` +
+ +## vLLM + +For vLLM, simply start a server by executing the command below: + +
+ Click to expand +
+ +```python +vllm serve tiiuae/Falcon-H1R-7B \ + --tensor-parallel-size 1 \ + --data-parallel-size 1 \ + --reasoning-parser deepseek_r1 +``` +
+Additional flags: + +* You can reduce `--max-model-len` to preserve memory. Default value is `262144` which is quite large but not necessary for most scenarios. +* For function calling, append `--enable-auto-tool-choice` and `--tool-call-parser hermes` to the vllm serve command. + + +vLLM client execution code: +```python +from openai import OpenAI +import json + +client = OpenAI( + base_url="http://localhost:8000/v1", + api_key="EMPTY", +) + +completion = client.chat.completions.create( + model="tiiuae/Falcon-H1R-7B", + messages=[ + {"role": "user", "content": "If the product of two numbers is 360 and their GCD is 6, what is their LCM?"}, + ], + temperature=0.6, + top_p=0.95, + max_tokens=65536 +) + +msg = completion.choices[0].message + +print(json.dumps({ + "reasoning": msg.reasoning_content, + "answer": msg.content +}, indent=2)) +``` +
+ +## SGLang + +For SGLang, simply start a server by executing the command below: + +
+ Click to expand +
+ +```python +python -m sglang.launch_server \ + --model tiiuae/Falcon-H1R-7B \ + --tensor-parallel-size 1 \ + --reasoning-parser deepseek-r1 +``` +
+ +SGLang client execution code: +```python +from openai import OpenAI +import json + +client = OpenAI( + base_url="http://localhost:30000/v1", + api_key="EMPTY", +) + +completion = client.chat.completions.create( + model="tiiuae/Falcon-H1R-7B", + messages=[ + {"role": "user", "content": "How many solutions in integers satisfy ∣x∣+∣y∣=20?"}, + ], + max_tokens=65536, + temperature=0.6, + top_p=0.95, +) + +msg = completion.choices[0].message + +print(json.dumps({ + "reasoning": msg.reasoning_content, + "answer": msg.content +}, indent=2)) +``` +
+
+ +# Evaluation + +Falcon-H1R achieves state of art results in reasoning benchmarks. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
CategoryBenchmarkFalcon-H1R-7BQwen3-8BDeepSeek-R1-0528-Qwen3-8BPhi-4-Reasoning-Plus-14BApriel-1.5-15b-ThinkerGPT-OSS-20BQwen3-32BNemotron-H-47B-Reasoning
MATHAIME2488.177.983.377.286.283.379.464.6
AIME2583.165.875.871.280.084.471.051.4
HMMT2564.941.054.347.761.064.849.834.2
AMO-BENCH36.314.123.315.022.226.021.37.0
MATH50097.497.496.895.497.294.896.891.4
CodeLCBv5-v668.653.057.253.153.072.061.047.4
SciCode (sub/main)28.3 / 3.928.3 / 6.722.2 / 2.629.8 / 7.231.9 / 8.234.9 / 6.236.4 / 9.226.1 / 4.6
GeneralGPQA-D61.361.261.467.968.261.267.356.8
MMLU-Pro72.163.569.179.276.575.673.978.6
HLE11.14.25.65.912.09.88.34.4
IFBench53.435.329.251.755.869.435.434.3
Agentic Workflows𝜏²-Bench Telecom25.427.868.460.229.811.4
Terminal-Bench Hard4.92.11.42.19.99.92.81.4
+ +TTS represents test time scaling results on few of the benchmarks that we evaluated via [DeepConf](https://github.com/facebookresearch/deepconf). Note that AMO-Bench* is limited to the parser-verifiable subset which comprises 39 problems. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
BenchmarkFalcon-H1R-7BQwen3-8BDeepSeek-R1-0528-Qwen3-8BNemotron-H-8BPhi-4-Reasoning-Plus-14BQwen3-32B
AIME2496.780.090.053.386.786.7
AIME2596.780.082.843.383.386.7
GPQA-D70.260.959.961.173.270.1
AMO-Bench*35.915.425.67.720.528.2
+ +# Useful links + +- View [our release blogpost](https://falcon-lm.github.io/blog/falcon-h1r-7b). +- View [our technical report](https://huggingface.co/papers/2601.02346). +- Feel free to join [our discord server](https://discord.gg/Cbek57PrZE) if you have any questions or to interact with our researchers and developers. + +# Citation + +If the Falcon-H1R family of reasoning models is helpful to your work, feel free to give us a cite. + +``` +@misc{falcon-h1r, + title={Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling}, + author={Falcon LLM Team and Iheb Chaabane and Puneesh Khanna and Suhail Mohmad and Slim Frikha and Shi Hu and Abdalgader Abubaker and Reda Alami and Mikhail Lubinets and Mohamed El Amine Seddik and Hakim Hacid}, + year={2026}, + eprint={2601.02346}, + archivePrefix={arXiv}, + primaryClass={cs.AI}, + url={https://arxiv.org/abs/2601.02346}, +} +``` \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..ae5590d --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,101 @@ +{# --- System Prompt Handling --- #} +{%- if messages and messages[0]['role'] == 'system' %} + {% set system_msg = messages[0]['content'] %} + {%- set remaining_messages = messages[1:] %} +{%- else %} + {% set system_msg = "You are Falcon, a helpful AI assistant created by Technology Innovation Institute (TII). To answer the user's question, you first think about the reasoning process and then provide the user with the answer. The reasoning process is enclosed within tags, i.e., reasoning process here answer here." %} + {%- set remaining_messages = messages %} +{%- endif %} + +{%- if tools %} +<|im_start|>system +{{ system_msg }} +# Tools +You may call one or more functions to assist with the user query. You are provided with function signatures within XML tags. + +{%- for tool in tools %} +{{- "" }} +{{ tool | tojson }} +{%- endfor %} +{{- "" }} + +For each function call, return a json object with function name and arguments within XML tags: + +{"name": , "arguments": } + +<|im_end|> + +{%- else %} +<|im_start|>system +{{ system_msg }} +<|im_end|> +{%- endif %} + +{# --- Render remaining messages --- #} +{%- 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('') and message.content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %}{%- for message in remaining_messages %} + {%- set content = message.get('content','') %} + {%- if message['role'] == 'user' %} + {{- '<|im_start|>' + message['role'] + '\n' + content + '<|im_end|>\n' }} + {%- elif message['role'] == 'assistant' %} + {{- '<|im_start|>' + message.role + '\n' }} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and reasoning_content) %} + {{- '\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- content + '\n' }} + {%- endif %} + {%- else %} + {{- content + '\n' }} + {%- endif %} + {%- if tools and message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{-'\n' }} + {{- '{"name": "'+ tool_call.name + '", "arguments":' }} + {%- if tool_call.arguments is string -%} + {{ tool_call.arguments }} + {%- else -%} + {{ tool_call.arguments | tojson }} + {%- endif -%} + {{- '}' }} + {{- '\n\n' }} + {%- endfor %} + {%- endif %} + {%- if not loop.last %} + {{- '<|im_end|>' + '\n' }} + {%- else %} + {{- '<|im_end|>' }} + {%- endif %} + {%- elif message['role'] == 'tool' %} + {# Tool responses treated as user messages #} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' + message['content'] + '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} + {# --- Add generation prompt after last message if requested --- #} + {%- if loop.last and add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- endif %} +{%- endfor %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..7454063 --- /dev/null +++ b/config.json @@ -0,0 +1,64 @@ +{ + "architectures": [ + "FalconH1ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "attention_in_multiplier": 1.0, + "attention_out_multiplier": 0.10416666666666669, + "attn_layer_indices": null, + "bos_token_id": 1, + "embedding_multiplier": 5.656854249492381, + "eos_token_id": 11, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 3072, + "initializer_range": 0.02, + "intermediate_size": 12288, + "key_multiplier": 0.030690398488999456, + "lm_head_multiplier": 0.013020833333333334, + "mamba_chunk_size": 128, + "mamba_conv_bias": true, + "mamba_d_conv": 4, + "mamba_d_head": 128, + "mamba_d_ssm": 3072, + "mamba_d_state": 256, + "mamba_expand": 2, + "mamba_n_groups": 1, + "mamba_n_heads": 24, + "mamba_norm_before_gate": false, + "mamba_proj_bias": false, + "mamba_rms_norm": true, + "mamba_use_mlp": true, + "max_position_embeddings": 262144, + "mlp_bias": false, + "mlp_expansion_factor": 8, + "mlp_multipliers": [ + 0.2946278254943948, + 0.032552083333333336 + ], + "model_type": "falcon_h1", + "num_attention_heads": 12, + "num_hidden_layers": 44, + "num_key_value_heads": 2, + "num_logits_to_keep": 1, + "pad_token_id": 0, + "projectors_bias": false, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 100000000000, + "ssm_in_multiplier": 0.4166666666666667, + "ssm_multipliers": [ + 0.3535533905932738, + 0.25, + 0.1767766952966369, + 0.5, + 0.3535533905932738 + ], + "ssm_out_multiplier": 0.11785113019775792, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.52.0.dev0", + "use_cache": true, + "vocab_size": 130048 +} \ No newline at end of file diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file diff 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">>UNUSED_868<<", + ">>UNUSED_869<<", + ">>UNUSED_870<<", + ">>UNUSED_871<<", + ">>UNUSED_872<<", + ">>UNUSED_873<<", + ">>UNUSED_874<<", + ">>UNUSED_875<<", + ">>UNUSED_876<<", + ">>UNUSED_877<<", + ">>UNUSED_878<<", + ">>UNUSED_879<<", + ">>UNUSED_880<<", + ">>UNUSED_881<<", + ">>UNUSED_882<<", + ">>UNUSED_883<<", + ">>UNUSED_884<<", + ">>UNUSED_885<<", + ">>UNUSED_886<<", + ">>UNUSED_887<<", + ">>UNUSED_888<<", + ">>UNUSED_889<<", + ">>UNUSED_890<<", + ">>UNUSED_891<<", + ">>UNUSED_892<<", + ">>UNUSED_893<<", + ">>UNUSED_894<<", + ">>UNUSED_895<<", + ">>UNUSED_896<<", + ">>UNUSED_897<<", + ">>UNUSED_898<<", + ">>UNUSED_899<<", + ">>UNUSED_900<<", + ">>UNUSED_901<<", + ">>UNUSED_902<<", + ">>UNUSED_903<<", + ">>UNUSED_904<<", + ">>UNUSED_905<<", + ">>UNUSED_906<<", + ">>UNUSED_907<<", + ">>UNUSED_908<<", + ">>UNUSED_909<<", + ">>UNUSED_910<<", + ">>UNUSED_911<<", + ">>UNUSED_912<<", + ">>UNUSED_913<<", + ">>UNUSED_914<<", + ">>UNUSED_915<<", + ">>UNUSED_916<<", + ">>UNUSED_917<<", + ">>UNUSED_918<<", + ">>UNUSED_919<<", + ">>UNUSED_920<<", + ">>UNUSED_921<<", + ">>UNUSED_922<<", + ">>UNUSED_923<<", + ">>UNUSED_924<<", + ">>UNUSED_925<<", + ">>UNUSED_926<<", + ">>UNUSED_927<<", + ">>UNUSED_928<<", + ">>UNUSED_929<<", + ">>UNUSED_930<<", + ">>UNUSED_931<<", + ">>UNUSED_932<<", + ">>UNUSED_933<<", + ">>UNUSED_934<<", + ">>UNUSED_935<<", + ">>UNUSED_936<<", + ">>UNUSED_937<<", + ">>UNUSED_938<<", + ">>UNUSED_939<<", + ">>UNUSED_940<<", + ">>UNUSED_941<<", + ">>UNUSED_942<<", + ">>UNUSED_943<<", + ">>UNUSED_944<<", + ">>UNUSED_945<<", + ">>UNUSED_946<<", + ">>UNUSED_947<<", + ">>UNUSED_948<<", + ">>UNUSED_949<<", + ">>UNUSED_950<<", + ">>UNUSED_951<<", + ">>UNUSED_952<<", + ">>UNUSED_953<<", + ">>UNUSED_954<<", + ">>UNUSED_955<<", + ">>UNUSED_956<<", + ">>UNUSED_957<<", + ">>UNUSED_958<<", + ">>UNUSED_959<<", + ">>UNUSED_960<<", + ">>UNUSED_961<<", + ">>UNUSED_962<<", + ">>UNUSED_963<<", + ">>UNUSED_964<<", + ">>UNUSED_965<<", + ">>UNUSED_966<<", + ">>UNUSED_967<<", + ">>UNUSED_968<<", + ">>UNUSED_969<<", + ">>UNUSED_970<<", + ">>UNUSED_971<<", + ">>UNUSED_972<<", + ">>UNUSED_973<<", + ">>UNUSED_974<<", + ">>UNUSED_975<<", + ">>UNUSED_976<<", + ">>UNUSED_977<<", + ">>UNUSED_978<<", + ">>UNUSED_979<<", + ">>UNUSED_980<<", + ">>UNUSED_981<<", + ">>UNUSED_982<<", + ">>UNUSED_983<<", + ">>UNUSED_984<<", + ">>UNUSED_985<<", + ">>UNUSED_986<<", + ">>UNUSED_987<<", + ">>UNUSED_988<<", + ">>UNUSED_989<<", + ">>UNUSED_990<<", + ">>UNUSED_991<<", + ">>UNUSED_992<<", + ">>UNUSED_993<<", + ">>UNUSED_994<<", + ">>UNUSED_995<<", + ">>UNUSED_996<<", + ">>UNUSED_997<<", + ">>UNUSED_998<<", + ">>UNUSED_999<<", + ">>UNUSED_1000<<", + ">>UNUSED_1001<<", + ">>UNUSED_1002<<", + ">>UNUSED_1003<<", + ">>UNUSED_1004<<", + ">>UNUSED_1005<<", + ">>UNUSED_1006<<", + ">>UNUSED_1007<<", + ">>UNUSED_1008<<", + ">>UNUSED_1009<<", + ">>UNUSED_1010<<", + ">>UNUSED_1011<<", + ">>UNUSED_1012<<", + ">>UNUSED_1013<<", + ">>UNUSED_1014<<", + ">>UNUSED_1015<<", + ">>UNUSED_1016<<", + ">>UNUSED_1017<<", + ">>UNUSED_1018<<", + ">>UNUSED_1019<<", + ">>UNUSED_1020<<", + ">>UNUSED_1021<<", + ">>UNUSED_1022<<", + ">>UNUSED_1023<<" + ], + "bos_token": "<|begin_of_text|>", + "clean_up_tokenization_spaces": true, + "eos_token": "<|end_of_text|>", + "extra_special_tokens": {}, + "model_input_names": ["input_ids", "attention_mask"], + "model_max_length": 1000000000000000019884624838656, + "pad_token": "<|pad|>", + "padding_side": "left", + "tokenizer_class": "PreTrainedTokenizer" +} \ No newline at end of file