初始化项目，由ModelHub XC社区提供模型

Model: Josephgflowers/Qllama-5B-Base-Wiki-Chat-RAG
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+---
+
+Llamafyd version of Qwen .5B further fine tuned on wiki, math, science, and chat datasets. Based on Cinder data.
+This model should be fine tuned on further rag, function calling, programing, or assistant datasets for best performance.
+Next model will have a focus on rag.
+
+This model is ok at rag. It is very verbose from being trained on wikipedia Q and A with a whole article as the answer. Tiny-textbooks and Cosmopedia 100k, all very long responses.
+It was also trained with normal RAG datasets, as well as a medical rag dataset I put together. Most of the common math chat datasets. Conversation datasets like hermes 1, fastchat, synthia, capybara, cinder, puffin, ect.
+I will work on putting together the full list and posting.

added_tokens.json

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+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

config.json

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+{
+  "_name_or_path": "/home/joe/Downloads/q/text-6",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 2816,
+  "max_position_embeddings": 4096,
+  "max_window_layers": 21,
+  "model_type": "llama",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 16,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.41.0.dev0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": [
+    151645,
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+  "repetition_penalty": 1.1,
+  "top_p": 0.8,
+  "transformers_version": "4.41.0.dev0"
+}

model.safetensors

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optimizer.pt

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scheduler.pt

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
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tokenizer.json

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tokenizer_config.json

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+{
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+  "added_tokens_decoder": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "special": true
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+      "lstrip": false,
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+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% for message in messages %}{{'<s>' + message['role'] + '\n' + message['content'] + '<s>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

training_args.bin

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