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Model: utter-project/EuroLLM-9B-Instruct-2512 Source: Original Platform
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EuroLLM_Public_Summary.pdf
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README.md
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---
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license: apache-2.0
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language:
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- en
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- de
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- es
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- fr
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- it
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- pt
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- pl
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- nl
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- tr
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- sv
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- cs
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- el
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- hu
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- ro
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- fi
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- uk
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- sl
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- sk
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- da
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- lt
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- lv
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- et
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- bg
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- 'no'
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- ca
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- hr
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- ga
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- mt
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- gl
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- zh
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- ru
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- ko
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- ja
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- ar
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- hi
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library_name: transformers
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base_model:
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- utter-project/EuroLLM-9B-2512
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---
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# Model Card for EuroLLM-9B-Instruct-2512
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This is the model card for EuroLLM-9B-Instruct-2512, an improved version of [utter-project/EuroLLM-9B-Instruct](https://huggingface.co/utter-project/EuroLLM-9B-Instruct).
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In comparison with the previous version, this version includes the long-context extension phase and the revamped post-training recipe from [utter-project/EuroLLM-22B-Instruct](https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512).
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- **Developed by:** Instituto Superior Técnico - University of Lisbon, Instituto de Telecomunicações, University of Edinburgh, Aveni, Unbabel, University of Paris-Saclay, Artefact Research Center, University of Amsterdam, Naver Labs, Sorbonne Université.
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- **Funded by:** European Union.
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- **Model type:** A 9B parameter multilingual transfomer LLM.
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- **Language(s) (NLP):** Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hungarian, Irish, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish, Swedish, Arabic, Catalan, Chinese, Galician, Hindi, Japanese, Korean, Norwegian, Russian, Turkish, and Ukrainian.
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- **License:** Apache License 2.0.
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.12.2`
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```yaml
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auto_resume_from_checkpoints: true
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use_tensorboard: true
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base_model: utter-project/EuroLLM-9B-2512
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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dataset_processes: 64
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datasets:
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- path: utter-project/EuroBlocks-SFT-2512
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type: chat_template
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split: train
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conversation: chatml
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field_messages: conversations
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message_field_role: role
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message_field_content: content
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roles_to_train: ["assistant"]
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train_on_eos: all
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chat_template_jinja: "{% for message in messages %}{% if message['role'] == 'assistant' %}{% set role = 'assistant' %}{% else %}{% set role = message['role'] %}{% endif %}<|im_start|>{{ role }}\n{{ message['content'] | trim }}<|im_end|>\n{% endfor %}{% if add_generation_prompt %}{{'<|im_start|>assistant\n'}}{% endif %}"
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output_dir: checkpoints
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val_set_size: 0
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sequence_len: 32768
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sample_packing: true
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pad_to_sequence_len: true
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# sequence_parallel_degree: 4
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# heads_k_stride: 1
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# ring_attn_func:
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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liger_rope: true
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liger_rms_norm: true
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liger_glu_activation: true
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liger_layer_norm: true
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liger_fused_linear_cross_entropy: true
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# N_GPUS * GRAD_ACC_STEPS * MICRO_BATCH_SIZE * SEQ_LEN = tokens/step ->
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# Assuming 32 gpus (32 * 2 * 2 * 32k = 4 096 000 tokens/step)
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gradient_accumulation_steps: 2
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micro_batch_size: 2
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eval_batch_size: 1
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num_epochs: 5
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optimizer: adamw_torch
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lr_scheduler: cosine
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learning_rate: 1e-5
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train_on_inputs: false
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group_by_length: false
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bf16: true
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fp16: false
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tf32: false
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gradient_checkpointing: true
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logging_steps: 1
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flash_attention: true
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flash_attn_cross_entropy: false
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flash_attn_rms_norm: false
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flash_attn_fuse_qkv: false
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flash_attn_fuse_mlp: false
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warmup_steps: 125
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eval_sample_packing: False
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save_steps: 500
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save_total_limit: 2
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deepspeed: deepspeed_configs/zero3_bf16.json
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weight_decay: 0.01
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special_tokens:
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eos_token: "<|im_end|>"
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```
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</details><br>
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## Run the model
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "utter-project/EuroLLM-9B-Instruct-2512"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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messages = [
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{
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"role": "system",
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"content": "You are EuroLLM --- an AI assistant specialized in European languages that provides safe, educational and helpful answers.",
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},
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{
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"role": "user", "content": "What is the capital of Portugal? How would you describe it?"
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},
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]
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inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")
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outputs = model.generate(inputs, max_new_tokens=1024)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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## Bias, Risks, and Limitations
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EuroLLM-9B has not been aligned to human preferences, so the model may generate problematic outputs (e.g., hallucinations, harmful content, or false statements).
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## Citation
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If you use our work, please cite:
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```
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@misc{ramos2026eurollm22btechnicalreport,
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title={EuroLLM-22B: Technical Report},
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author={Miguel Moura Ramos and Duarte M. Alves and Hippolyte Gisserot-Boukhlef and João Alves and Pedro Henrique Martins and Patrick Fernandes and José Pombal and Nuno M. Guerreiro and Ricardo Rei and Nicolas Boizard and Amin Farajian and Mateusz Klimaszewski and José G. C. de Souza and Barry Haddow and François Yvon and Pierre Colombo and Alexandra Birch and André F. T. Martins},
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year={2026},
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eprint={2602.05879},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2602.05879},
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}
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```
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chat_template.jinja
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{% for message in messages %}{% if message['role'] == 'assistant' %}{% set role = 'assistant' %}{% else %}{% set role = message['role'] %}{% endif %}<|im_start|>{{ role }}
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{{ message['content'] | trim }}<|im_end|>
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{% endfor %}{% if add_generation_prompt %}{{'<|im_start|>assistant
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'}}{% endif %}
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 4,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 12288,
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"max_position_embeddings": 32768,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 42,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.55.2",
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"use_cache": false,
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"vocab_size": 128000
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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"do_sample": true,
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"eos_token_id": 4,
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"transformers_version": "4.55.2"
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30
special_tokens_map.json
Normal file
30
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Normal file
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3
tokenizer.json
Normal file
3
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3
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Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
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2107
tokenizer_config.json
Normal file
2107
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user