LoneStriker
commited on
Commit
•
7276a71
1
Parent(s):
016f9d6
ExLLaMA V2 quant of SynthIA-70B-v1.5-2.6bpw-h6-exl2
Browse files- README.md +81 -0
- config.json +29 -0
- output-00001-of-00003.safetensors +3 -0
- output-00002-of-00003.safetensors +3 -0
- output-00003-of-00003.safetensors +3 -0
- pytorch_model.bin.index.json +730 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +39 -0
README.md
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---
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license: llama2
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---
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## Example Usage
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### Prompt format:
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```
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SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.
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USER: How is a rocket launched from the surface of the earth to Low Earth Orbit?
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ASSISTANT:
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```
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### Code example:
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```python
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import torch, json
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "migtissera/Synthia-70B-v1.5"
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output_file_path = "./Synthia-70B-v1.5-conversations.jsonl"
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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torch_dtype=torch.float16,
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device_map="auto",
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load_in_8bit=False,
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trust_remote_code=True,
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)
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tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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def generate_text(instruction):
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tokens = tokenizer.encode(instruction)
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tokens = torch.LongTensor(tokens).unsqueeze(0)
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tokens = tokens.to("cuda")
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instance = {
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"input_ids": tokens,
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"top_p": 1.0,
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"temperature": 0.75,
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"generate_len": 1024,
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"top_k": 50,
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}
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length = len(tokens[0])
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with torch.no_grad():
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rest = model.generate(
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input_ids=tokens,
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max_length=length + instance["generate_len"],
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use_cache=True,
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do_sample=True,
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top_p=instance["top_p"],
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temperature=instance["temperature"],
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top_k=instance["top_k"],
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num_return_sequences=1,
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)
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output = rest[0][length:]
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string = tokenizer.decode(output, skip_special_tokens=True)
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answer = string.split("USER:")[0].strip()
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return f"{answer}"
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conversation = f"SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation."
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while True:
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user_input = input("You: ")
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llm_prompt = f"{conversation} \nUSER: {user_input} \nASSISTANT: "
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answer = generate_text(llm_prompt)
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print(answer)
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conversation = f"{llm_prompt}{answer}"
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json_data = {"prompt": user_input, "answer": answer}
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## Save your conversation
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with open(output_file_path, "a") as output_file:
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output_file.write(json.dumps(json_data) + "\n")
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```
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config.json
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{
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"_name_or_path": "/home/ubuntu/llm/Llama-2-70B-fp16",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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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": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_length": 4096,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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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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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.34.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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}
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output-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d9e84a11a90ff1db09e6bb0bc1c1fa29c5f59c96a21a8cf41e21d2ca18350f7
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size 8539361288
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output-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9da45ebd465afa9b8e015271621ed08e3e7f8e060702a49540ad75dbbc67f70e
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size 8520049928
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output-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c49e3f6d26191dc388db0f21cea85e906a8c0deb02403cd4b52f787560ecc2b3
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size 5950572472
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pytorch_model.bin.index.json
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1 |
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{
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"metadata": {
|
3 |
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"total_size": 137953296384
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4 |
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},
|
5 |
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"weight_map": {
|
6 |
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"lm_head.weight": "pytorch_model-00015-of-00015.bin",
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7 |
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"model.embed_tokens.weight": "pytorch_model-00001-of-00015.bin",
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special_tokens_map.json
ADDED
@@ -0,0 +1,5 @@
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|
|
|
1 |
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{
|
2 |
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"bos_token": "<s>",
|
3 |
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"eos_token": "</s>",
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4 |
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"unk_token": "<unk>"
|
5 |
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}
|
tokenizer.json
ADDED
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|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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3 |
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size 499723
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tokenizer_config.json
ADDED
@@ -0,0 +1,39 @@
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<unk>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<s>",
|
13 |
+
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|
14 |
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|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
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"2": {
|
20 |
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"content": "</s>",
|
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"lstrip": false,
|
22 |
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"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
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"single_word": false,
|
25 |
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"special": true
|
26 |
+
}
|
27 |
+
},
|
28 |
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"additional_special_tokens": [],
|
29 |
+
"bos_token": "<s>",
|
30 |
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"clean_up_tokenization_spaces": false,
|
31 |
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"eos_token": "</s>",
|
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"legacy": false,
|
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"model_max_length": 1000000000000000019884624838656,
|
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|
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"sp_model_kwargs": {},
|
36 |
+
"tokenizer_class": "LlamaTokenizer",
|
37 |
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"unk_token": "<unk>",
|
38 |
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"use_default_system_prompt": true
|
39 |
+
}
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