From 8b0a636628b86c200cb4c6734f66977c83eb4bf6 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 22 Oct 2026 13:57:15 +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: HiTZ/Marmoka-es-it-Llama-3.1-8B-Instruct Source: Original Platform --- .gitattributes | 36 + README.md | 246 ++++ config.json | 40 + mergekit_config.yml | 13 + 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 | 1 + special_tokens_map.json | 16 + tokenizer.json | 3 + tokenizer_config.json | 2063 ++++++++++++++++++++++++++++++ 12 files changed, 2430 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 mergekit_config.yml 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/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.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 +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..c7225cf --- /dev/null +++ b/README.md @@ -0,0 +1,246 @@ +--- +license: apache-2.0 +language: +- es +base_model: meta-llama/Llama-3.1-8B-Instruct +library_name: transformers +pipeline_tag: text-generation +datasets: +- HiTZ/Magpie-Llama-3.1-70B-Instruct-Filtered +- TsinghuaC3I/UltraMedical +tags: +- biomedical +- medical +- clinical +- spanish +- llama-3.1 +- continual-pretraining +- merge +widget: +- messages: + - role: user + content: >- + Varón de 55 años con dolor torácico opresivo irradiado al brazo izquierdo. + ¿Cuál es la prueba diagnóstica inicial más adecuada? + + A) Radiografía de tórax + + B) Electrocardiograma de 12 derivaciones + + C) Ecografía abdominal + + D) Espirometría + + Responde solo con la letra de la opción correcta. +- messages: + - role: user + content: Explica el mecanismo de acción de la metformina en la diabetes tipo 2. +- messages: + - role: user + content: >- + ¿Cuáles son los efectos adversos más frecuentes de los inhibidores de la + ECA? +--- + + +
+
+ +
+ +

+ Marmoka-es+it +
+ A Lightweight Spanish Clinical Large Language Model +
+ Built on Llama 3.1 +

+ +
+ +

+Marmoka is a family of lightweight 8B-parameter clinical LLMs for English and Spanish. Marmoka-es+it is a Spanish member of the family, developed to address the scarcity of high-quality medical data and instructions in Spanish. It was obtained by merging Marmoka-es, a model continually pre-trained on Spanish medical corpora, with Marmoka-it, a model fine-tuned on medical instructions, combining the strengths of both adaptation approaches. Marmoka-es+it consistently outperforms both Llama-3.1-8B-Instruct and Llama3.1-Aloe-Beta-8B on Spanish clinical multiple-choice QA, showing that robust medical LLMs can be developed for languages that remain low-resource in the medical domain. +

+ +- 📖 Paper: [To Adapt or not to Adapt, Rethinking the Value of Medical Knowledge-Aware Large Language Models](https://arxiv.org/abs/2604.06854) + + +## How to Get Started with the Model + +You can use the model with the `transformers` pipeline (it uses the Llama 3.1 chat template): +```python +import torch +from transformers import pipeline + +pipe = pipeline( + "text-generation", + model="HiTZ/Marmoka-es-it-Llama-3.1-8B-Instruct", + torch_dtype=torch.bfloat16, + device_map="auto", +) + +messages = [ + {"role": "system", "content": "Eres un experto médico. Responde a la pregunta de opción múltiple únicamente con la letra de la opción correcta."}, + {"role": "user", "content": "¿Qué déficit vitamínico causa el escorbuto?\nA) Vitamina A\nB) Vitamina B12\nC) Vitamina C\nD) Vitamina D"}, +] + +outputs = pipe(messages, max_new_tokens=256) +print(outputs[0]["generated_text"][-1]["content"]) +``` + + +# Model Description + +- **Developed by**: Ane G. Domingo-Aldama, Iker De La Iglesia, Maitane Urruela, Aitziber Atutxa, and Ander Barrena +- **Contact**: [Ane G. Domingo-Aldama](mailto:ane.garciad@ehu.eus) and [Iker De La Iglesia](mailto:iker.delaiglesia@ehu.eus) +- **Language(s) (NLP)**: Spanish +- **License**: apache-2.0 +- **Funding**: + - The Spanish Ministry of Science, Innovation and Universities, MCIN/AEI/10.13039/501100011033 projects: + - EDHIA PID2022-136522OB-C22 (also supported by FEDER, UE). + - TRUST-MED PID2025-174880OB-I00 (also supported by FEDER, UE). + - DeepR3 TED2021-130295B-C31 (also supported by the European Union NextGenerationEU/PRTR). + - Basque Government: + - Research group funding IT1570-22. + - HiTZ Center. + - Predoctoral grants: FPU23/03347 (I. De La Iglesia, Spanish Ministry of Science, Innovation and Universities), PRE_2024_1_0224 (A. G. Domingo-Aldama) and PRE_2025_1_0177 (M. Urruela), Basque Government. + + +## Model Details + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Training settings for Marmoka-es+it.
Param. no.~8B
ArchitectureLlama 3.1 (decoder-only)
Base modelLlama-3.1-8B-Instruct
AdaptationDAPT + general instructions (Marmoka-es), merged with medical instruction tuning (Marmoka-it)
Medical corpus~908M (≈1B) words (Spanish)
General instructions310K (Spanish, Magpie)
Medical instructions (Marmoka-it)410K (UltraMedical) + 82K general-domain
Marmoka-es training3 models trained with different hyperparameters on the same corpus, merged
Training frameworkAxolotl
Merging toolMergeKit
Model selectionCasimedicos validation set (EN & ES)
+ + +## Training Data + +

+Marmoka-es+it was built in two stages, both starting from Llama-3.1-8B-Instruct. First, Marmoka-es was trained with the hybrid strategy of Sainz et al. (2025), which combines continual domain-adaptive pretraining on Spanish medical corpora with general-domain instructions to avoid catastrophic forgetting. In parallel, Marmoka-it was trained on medical instructions from UltraMedical together with general-domain instructions, merging three models trained with different hyperparameters. Finally, both models were merged into Marmoka-es+it. Unlike traditional DAPT setups, an instruction-tuned model, rather than a base model, was used as the starting point. The medical corpora are an updated version of those gathered in De la Iglesia et al. (2025), and were processed and deduplicated using standard approaches (deduplication code). +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Data sources and sizes used to train Marmoka-es+it.
TypeSourceSize
Medical corpora (Spanish)WikiMed16.3M words
PubMed5.5M words
Medical Crawler850.7M words
MeSpEn6.9M words
SciELO29M words
General-domain instructionsMagpie (Llama-3.1-70B-Instruct)310K instructions
Marmoka-itUltraMedical (medical)410K instructions
General-domain instructions82K instructions
+ + + +# Limitation and Bias + +

Marmoka-es+it is intended for research purposes. Its evaluation is based on short-form multiple-choice question answering with automated accuracy metrics and without expert clinical adjudication, so the validity of the model's underlying reasoning has not been verified, and these benchmarks may not fully capture genuine medical expertise. It is recommended to validate and test the model for specific applications before using it.

+ +

Instruction following and strict output formatting remain a limitation, especially in multi-step tasks such as summarization, where formatting failures were observed. Outputs should be checked whenever a strict format is required.

+ +## Biases + + + +## Disclaimer +

Marmoka-es+it is intended for research purposes and is not approved for clinical use. It must not be used as a medical device or relied upon for diagnostic or therapeutic decision-making, and its outputs should not be interpreted as medical advice. Using the model without rigorous validation poses significant risks, including misinformation, misclassification, and potential harm.

+

When employed in actual clinical scenarios, all outputs must be independently reviewed and validated by qualified healthcare professionals. We do not take any liability for the use of this model.

+ + +# Citing information + +```bibtex +@article{domingo2026adapt, + title={To Adapt or not to Adapt, Rethinking the Value of Medical Knowledge-Aware Large Language Models}, + author={Domingo-Aldama, Ane G and De La Iglesia, Iker and Urruela, Maitane and Atutxa, Aitziber and Barrena, Ander}, + journal={arXiv preprint arXiv:2604.06854}, + year={2026} +} +``` \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..be975d2 --- /dev/null +++ b/config.json @@ -0,0 +1,40 @@ +{ + "_name_or_path": "meta-llama/Llama-3.1-8B-Instruct", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "eos_token_id": [ + 128001, + 128008, + 128009 + ], + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": { + "factor": 8.0, + "high_freq_factor": 4.0, + "low_freq_factor": 1.0, + "original_max_position_embeddings": 8192, + "rope_type": "llama3" + }, + "rope_theta": 500000.0, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.49.0", + "use_cache": true, + "vocab_size": 128256 +} diff --git a/mergekit_config.yml b/mergekit_config.yml new file mode 100644 index 0000000..60282ce --- /dev/null +++ b/mergekit_config.yml @@ -0,0 +1,13 @@ +models: + - model: meta-llama/Llama-3.1-8B-Instruct + - model: /data/abarrena/marmokaPaper/marmoka-es-adv + parameters: + density: 0.85 + weight: 0.65 + - model: /data/abarrena/marmokaPaper/marmoka-um-adv + parameters: + density: 0.85 + weight: 0.25 +merge_method: dare_ties +base_model: meta-llama/Llama-3.1-8B-Instruct +dtype: bfloat16 \ No newline at end of file diff --git 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"special": true + } + }, + "bos_token": "<|begin_of_text|>", + "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", + "clean_up_tokenization_spaces": true, + "eos_token": "<|eot_id|>", + "extra_special_tokens": {}, + "model_input_names": [ + "input_ids", + "attention_mask" + ], + "model_max_length": 131072, + "tokenizer_class": "PreTrainedTokenizer" +}