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README.md

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 ---
-license: unknown
+library_name: peft
+base_model: unsloth/mistral-7b-bnb-4bit
 ---
+
+# Rosetta 0.2
+
+
+## Model Details
+
+### Model Description
+
+Base model is the Unsloth Mistral 7b at full percision (trained on 4bit).
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** smashmaster
+- **Funded by:** myself
+- **Model type:** Mistral 7B Finetune
+- **Language(s) (NLP):** TBD
+- **License:** All rights reserved (for now, def subject to change with better revisions of the model)
+- **Finetuned from model:** Mistral 7B (Unsloth 4bit)
+
+
+### Framework versions
+
+- PEFT 0.7.1

config.json

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+{
+  "_name_or_path": "unsloth/mistral-7b",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 2,
+  "quantization_config": {
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.0.dev0",
+  "unsloth_version": "2024.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.37.0.dev0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a2d9946e65e69191d9af3829f5751a9f3cb6955348322a5a77c7fd84a28f2b75
+size 4125687669