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README.md

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----
-license: apache-2.0
----
+
+# Model Card for nexa-Llama-sci7b
+
+## Model Details
+**Model Description:**  
+nexa-Llama-sci7b is a fine-tuned variant of meta-llama/Llama-2-7b-chat-hf, optimized for scientific research generation tasks such as hypothesis generation, abstract writing, and methodology completion. Fine-tuning was performed using PEFT with LoRA in 4-bit quantized mode via bitsandbytes.
+
+**Developed by:** Allan (Independent Scientific Intelligence Architect)  
+**Shared by:** Allan (https://huggingface.co/allan-wandia)  
+**Model type:** Decoder-only transformer (causal language model)  
+**Language(s):** English (scientific domain-specific vocabulary)  
+**License:** Apache 2.0  
+**Fine-tuned from:** meta-llama/Llama-2-7b-chat-hf  
+**Repository:** https://huggingface.co/allan-wandia/nexa-llama-sci7b  
+
+## Training Details
+**Training Data:**  
+- Size: 100 million tokens  
+- Source: Curated scientific literature (Bio, Physics, QST, Astro)  
+
+**Hyperparameters:**  
+- Sequence length: 1024  
+- Batch size: 1  
+- Gradient Accumulation Steps: 64  
+- Effective Batch Size: 64  
+- Learning rate: 2e-05  
+- Epochs: 2  
+- LoRA: Enabled (PEFT)  
+- Quantization: 4-bit  
+
+## Evaluation
+**Metrics:**  
+- BLEU (coherence): 10/10  
+- Entropy novelty: 6/10  
+- Scientific consistency: 9/10  
+
+**Results:**  
+Robust performance in scientific prose tasks, with novelty varying by prompt diversity.

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:62c837f3a5df4c56692e80ca90f500df9541dc90c70171885aad65d13435be41
+size 134235048

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ff17385a9d24d498223b2b6a26b11fe032b10f3c9e3222cdefa5d2dfc0e28f94
+size 5560