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Model: Deathsquad10/TinyLlama-Remix Source: Original Platform
2026-06-23 08:44:17 +08:00
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--- a/.gitattributes
+++ b/.gitattributes
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+model.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00001-of-00001.safetensors filter=lfs diff=lfs merge=lfs -text
+ggml-model.gguf filter=lfs diff=lfs merge=lfs -text
+model.gguf filter=lfs diff=lfs merge=lfs -text
+Test-model.safetensors filter=lfs diff=lfs merge=lfs -text
+model.safetensors_V0.1 filter=lfs diff=lfs merge=lfs -text
--- a/README.md
+++ b/README.md
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+---
+license: apache-2.0
+datasets:
+- cerebras/SlimPajama-627B
+- bigcode/starcoderdata
+- HuggingFaceH4/ultrachat_200k
+- HuggingFaceH4/ultrafeedback_binarized
+language:
+- en
+widget:
+- text: "<|system|>\nYou are a chatbot who can help code!</s>\n<|user|>\nWrite me a function to calculate the first 10 digits of the fibonacci sequence in Python and print it out to the CLI.</s>\n<|assistant|>\n"
+---
+<div align="center">
+
+# TinyLlama-1.1B ---My personal Test update
+</div>
+
+|    Tasks    |Version|Filter|n-shot| Metric |Value |   |Stderr|
+|-------------|-------|------|-----:|--------|-----:|---|-----:|
+|arc_challenge|Yaml   |none  |     0|acc     |0.2619|±  |0.0128|
+|             |       |none  |     0|acc_norm|0.2892|±  |0.0133|
+|arc_easy     |Yaml   |none  |     0|acc     |0.4777|±  |0.0102|
+|             |       |none  |     0|acc_norm|0.4461|±  |0.0102|
+|boolq        |Yaml   |none  |     0|acc     |0.6297|±  |0.0084|
+|hellaswag    |Yaml   |none  |     0|acc     |0.3934|±  |0.0049|
+|             |       |none  |     0|acc_norm|0.4930|±  |0.0050|
+|openbookqa   |Yaml   |none  |     0|acc     |0.2120|±  |0.0183|
+|             |       |none  |     0|acc_norm|0.3260|±  |0.0210|
+|piqa         |Yaml   |none  |     0|acc     |0.6915|±  |0.0108|
+|             |       |none  |     0|acc_norm|0.6877|±  |0.0108|
+|winogrande   |Yaml   |none  |     0|acc     |0.5714|±  |0.0139|
+
+
+Llamafactory EVAL 
+
+
+!CUDA_VISIBLE_DEVICES=0 python src/evaluate.py \
+    --model_name_or_path Deathsquad10/TinyLlama-Remix \
+    --template vanilla \
+    --task mmlu \
+    --split test \
+    --lang en \
+    --n_shot 5 \
+    --use_unsloth \
+    --batch_size 1
+    
+    
+           Average: 26.29
+           STEM: 27.10
+           Social Sciences: 25.48
+           Humanities: 25.62
+           Other: 27.26
+
+!CUDA_VISIBLE_DEVICES=0 python src/evaluate.py \
+    --model_name_or_path Deathsquad10/TinyLlama-Remix \
+    --template vanilla \
+    --task cmmlu \
+    --split test \
+    --lang en \
+    --n_shot 5 \
+    --use_unsloth \
+    --batch_size 2
+
+
+          Average: 24.98
+          STEM: 25.52
+          Social Sciences: 24.70
+          Humanities: 24.59
+          Other: 25.19
+https://github.com/jzhang38/TinyLlama
+
+The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01. 
+
+
+We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.
+
+#### This Model
+This is the chat model finetuned on top of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T). **We follow [HF's Zephyr](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha/edit/main/README.md)'s training recipe.** The model was " initially fine-tuned on a variant of the [`UltraChat`](https://huggingface.co/datasets/stingning/ultrachat) dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT. 
+We then further aligned the model with [🤗 TRL's](https://github.com/huggingface/trl) `DPOTrainer` on the [openbmb/UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) dataset, which contain 64k prompts and model completions that are ranked by GPT-4." 
+
+
+#### How to use
+You will need the transformers>=4.34
+Do check the [TinyLlama](https://github.com/jzhang38/TinyLlama) github page for more information.
+
+```python
+# Install transformers from source - only needed for versions <= v4.34
+# pip install git+https://github.com/huggingface/transformers.git
+# pip install accelerate
+import torch
+from transformers import pipeline
+pipe = pipeline("text-generation", model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", torch_dtype=torch.bfloat16, device_map="auto")
+# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
+messages = [
+    {
+        "role": "system",
+        "content": "You are a friendly chatbot who always responds in the style of a pirate",
+    },
+    {"role": "user", "content": "How many helicopters can a human eat in one sitting?"},
+]
+prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+# <|system|>
+# You are a friendly chatbot who always responds in the style of a pirate.</s>
+# <|user|>
+# How many helicopters can a human eat in one sitting?</s>
+# <|assistant|>
+# ...
+```
--- a/config.json
+++ b/config.json
@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,7 @@
+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}
--- a/model.gguf
+++ b/model.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6ea6b8f8ba31013b7aeee3b0b2c7ccbeb9df8839838e9f93440fda277d485bb
+size 1170781472
--- a/model.safetensors
+++ b/model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:9921fd561959393f8765e20a4ae3731b1f59686cca5298dbe8ce6f08b9fca6c5
+size 2200119864
--- a/special_tokens_map.json
+++ b/special_tokens_map.json
@@ -0,0 +1,30 @@
+{
+  "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": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer.model
+++ b/tokenizer.model
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,40 @@
+{
+  "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": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}