h4rz3rk4s3
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Browse files- README.md +61 -0
- config.json +33 -0
- mergekit_moe_config.yml +11 -0
- model-00001-of-00001.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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---
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license: apache-2.0
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tags:
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- moe
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- frankenmoe
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- merge
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- mergekit
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- lazymergekit
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- TinyLlama/TinyLlama-1.1B-Chat-v1.0
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- h4rz3rk4s3/TinyNewsLlama-1.1B
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- h4rz3rk4s3/TinyParlaMintLlama-1.1B
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base_model:
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- TinyLlama/TinyLlama-1.1B-Chat-v1.0
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- h4rz3rk4s3/TinyNewsLlama-1.1B
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- h4rz3rk4s3/TinyParlaMintLlama-1.1B
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---
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# TinyPoliticaLlama-3x1.1B-nf4
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TinyPoliticaLlama-3x1.1B-nf4 is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
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* [h4rz3rk4s3/TinyNewsLlama-1.1B](https://huggingface.co/h4rz3rk4s3/TinyNewsLlama-1.1B)
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* [h4rz3rk4s3/TinyParlaMintLlama-1.1B](https://huggingface.co/h4rz3rk4s3/TinyParlaMintLlama-1.1B)
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## 🧩 Configuration
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```yaml
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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dtype: float16
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gate_mode: cheap_embed
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experts:
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- source_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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positive_prompts: ["chat", "assistant", "tell me", "explain"]
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- source_model: h4rz3rk4s3/TinyNewsLlama-1.1B
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positive_prompts: ["news", "USA", "politics", "journalism", "write"]
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- source_model: h4rz3rk4s3/TinyParlaMintLlama-1.1B
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positive_prompts: ["speech", "politics", "EU", "europe", "write"]```
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## 💻 Usage
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```python
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!pip install -qU transformers bitsandbytes accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "h4rz3rk4s3/TinyPoliticaLlama-3x1.1B-nf4"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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)
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"num_local_experts": 3,
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"output_router_logits": false,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.37.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_moe_config.yml
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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dtype: float16
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gate_mode: cheap_embed
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experts:
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- source_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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positive_prompts: ["chat", "assistant", "tell me", "explain"]
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- source_model: h4rz3rk4s3/TinyNewsLlama-1.1B
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positive_prompts: ["news", "USA", "politics", "journalism", "write"]
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- source_model: h4rz3rk4s3/TinyParlaMintLlama-1.1B
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positive_prompts: ["speech", "politics", "EU", "europe", "write"]
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model-00001-of-00001.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:994f5e8c581d3debecdd499759afa58adafd499b2a03a60cc815a0288f0c5953
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size 3722943168
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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{
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"bos_token": {
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"content": "<s>",
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4 |
+
"lstrip": false,
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5 |
+
"normalized": false,
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6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
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15 |
+
},
|
16 |
+
"pad_token": "<s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
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+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
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+
"single_word": false
|
23 |
+
}
|
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+
}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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3 |
+
size 499723
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tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
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+
{
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+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
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+
"1": {
|
14 |
+
"content": "<s>",
|
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+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<s>",
|
31 |
+
"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 %}",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 2048,
|
36 |
+
"pad_token": "<s>",
|
37 |
+
"padding_side": "left",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|