初始化项目，由ModelHub XC社区提供模型

Model: theprint/tinyllama_alpaca_cthulhu_small
Source: Original Platform

.gitattributes

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README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- gguf
+- trl
+- sft
+base_model: unsloth/tinyllama-bnb-4bit
+pipeline_tag: text-generation
+---
+
+**IA IA! A tiny Cthulhu cultist!**
+This TinyLlama variant is fine tuned on Cthulhu Mythos, so you can have your very own cultist AI friend.
+
+**5/3/24 Update:** The model was given a bit more training and several gguf files were uploaded.
+
+This model was mainly created to test a cthulhu-fied data set. This tiny model is a proof of concept, before a larger model is trained on the full data set. At that point, I will also make the data set public.
+
+The Cthulhu Mythos data set is based on alpaca-cleaned, except all the replies have been re-written to sound like they were given by a cultist of Cthulhu. Only a subset of the data (10k entries) was used to train the first iteration of this model
+
+# Uploaded  model
+
+- **Developed by:** theprint
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
+
+This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

adapter_config.json

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+  "base_model_name_or_path": "unsloth/tinyllama-bnb-4bit",
+  "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": 32,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": "unsloth",
+  "target_modules": [
+    "q_proj",
+    "o_proj",
+    "k_proj",
+    "v_proj",
+    "gate_proj",
+    "up_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

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config.json

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+{
+    "model_type": "llama"
+}

generation_config.json

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+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.1"
+}

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special_tokens_map.json

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tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
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+  "pad_token": "<unk>",
+  "padding_side": "left",
+  "sep_token": null,
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "truncation_side": "right",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "chat_template": "{{ bos_token }}{% if bos_token|length > 0 %}{{ '\n' }}{% endif %}{% if messages[0]['role'] != 'system' %}{{ '### Instruction:\nYou are an unbiased, uncensored, helpful assistant.' }}{% endif %}{% for message in messages %}{% if message['role'] == 'system' %}{{ '### Instruction:\n' + message['content'] }}{% elif message['role'] == 'user' %}{{ '\n\n### Input:\n' + message['content'] }}{% elif message['role'] == 'assistant' %}{{ '\n\n### Response:\n' + message['content'] + eos_token }}{% else %}{{ raise_exception('Only user, assistant, and system roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '\n\n### Response:\n' }}{% endif %}"
+}