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Browse files- README.md +100 -0
- config.json +32 -0
- mergekit_moe_config.yml +46 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +29 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +47 -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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- jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
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- senseable/WestLake-7B-v2
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- mlabonne/OmniBeagle-7B
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- vanillaOVO/supermario_v3
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base_model:
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- jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
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- senseable/WestLake-7B-v2
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- mlabonne/OmniBeagle-7B
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- vanillaOVO/supermario_v3
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---
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# MixtureofMerges-MoE-4x7b-v3
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MixtureofMerges-MoE-4x7b-v3 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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* [jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES](https://huggingface.co/jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES)
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* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
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* [mlabonne/OmniBeagle-7B](https://huggingface.co/mlabonne/OmniBeagle-7B)
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* [vanillaOVO/supermario_v3](https://huggingface.co/vanillaOVO/supermario_v3)
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## 🧩 Configuration
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```yaml
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base_model: senseable/WestLake-7B-v2
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
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positive_prompts:
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- "Answer this question from the ARC (Argument Reasoning Comprehension)."
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- "Use common sense and logical reasoning skills."
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negative_prompts:
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- "nonsense"
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- "irrational"
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- "math"
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- "code"
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- source_model: senseable/WestLake-7B-v2
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positive_prompts:
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- "Answer this question from the Winogrande test."
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- "Use advanced knowledge of culture and humanity"
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negative_prompts:
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- "ignorance"
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- "uninformed"
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- "creativity"
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- source_model: mlabonne/OmniBeagle-7B
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positive_prompts:
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- "Calculate the answer to this math problem"
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- "My mathematical capabilities are strong, allowing me to handle complex mathematical queries"
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- "solve for"
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negative_prompts:
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- "incorrect"
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- "inaccurate"
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- "creativity"
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- source_model: vanillaOVO/supermario_v3
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positive_prompts:
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- "Predict the most plausible continuation for this scenario."
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- "Demonstrate understanding of everyday commonsense in your response."
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- "Use contextual clues to determine the most likely outcome."
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- "Apply logical reasoning to complete the given narrative."
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- "Infer the most realistic action or event that follows."
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negative_prompts:
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- "guesswork"
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- "irrelevant information"
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- "contradictory response"
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- "illogical conclusion"
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- "ignoring context"
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```
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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 = "jsfs11/MixtureofMerges-MoE-4x7b-v3"
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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": "senseable/WestLake-7B-v2",
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"architectures": [
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"MixtralForCausalLM"
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],
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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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": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 4,
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"output_router_logits": false,
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"pad_token_id": 2,
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"rms_norm_eps": 1e-05,
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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": "bfloat16",
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"transformers_version": "4.37.2",
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"unsloth_version": "2024.1",
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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: senseable/WestLake-7B-v2
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gate_mode: hidden
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dtype: bfloat16
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+
experts:
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+
- source_model: jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
|
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+
positive_prompts:
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+
- "Answer this question from the ARC (Argument Reasoning Comprehension)."
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9 |
+
- "Use common sense and logical reasoning skills."
|
10 |
+
negative_prompts:
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- "nonsense"
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+
- "irrational"
|
13 |
+
- "math"
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+
- "code"
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+
- source_model: senseable/WestLake-7B-v2
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+
positive_prompts:
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+
- "Answer this question from the Winogrande test."
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18 |
+
- "Use advanced knowledge of culture and humanity"
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19 |
+
negative_prompts:
|
20 |
+
- "ignorance"
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21 |
+
- "uninformed"
|
22 |
+
- "creativity"
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+
- source_model: mlabonne/OmniBeagle-7B
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24 |
+
positive_prompts:
|
25 |
+
- "Calculate the answer to this math problem"
|
26 |
+
- "My mathematical capabilities are strong, allowing me to handle complex mathematical queries"
|
27 |
+
- "solve for"
|
28 |
+
negative_prompts:
|
29 |
+
- "incorrect"
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+
- "inaccurate"
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31 |
+
- "creativity"
|
32 |
+
- source_model: vanillaOVO/supermario_v3
|
33 |
+
positive_prompts:
|
34 |
+
- "Predict the most plausible continuation for this scenario."
|
35 |
+
- "Demonstrate understanding of everyday commonsense in your response."
|
36 |
+
- "Use contextual clues to determine the most likely outcome."
|
37 |
+
- "Apply logical reasoning to complete the given narrative."
|
38 |
+
- "Infer the most realistic action or event that follows."
|
39 |
+
negative_prompts:
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+
- "guesswork"
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+
- "irrelevant information"
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+
- "contradictory response"
|
43 |
+
- "illogical conclusion"
|
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+
- "ignoring context"
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+
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+
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model-00001-of-00005.safetensors
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special_tokens_map.json
ADDED
@@ -0,0 +1,29 @@
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+
{
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2 |
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"additional_special_tokens": [
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"<unk>",
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4 |
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"<s>",
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+
"</s>"
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+
],
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"bos_token": {
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+
"content": "<s>",
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9 |
+
"lstrip": false,
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10 |
+
"normalized": false,
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11 |
+
"rstrip": false,
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12 |
+
"single_word": false
|
13 |
+
},
|
14 |
+
"eos_token": {
|
15 |
+
"content": "</s>",
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16 |
+
"lstrip": false,
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17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
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+
"pad_token": "<s>",
|
22 |
+
"unk_token": {
|
23 |
+
"content": "<unk>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false
|
28 |
+
}
|
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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
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,47 @@
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1 |
+
{
|
2 |
+
"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 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"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 |
+
"additional_special_tokens": [
|
31 |
+
"<unk>",
|
32 |
+
"<s>",
|
33 |
+
"</s>"
|
34 |
+
],
|
35 |
+
"bos_token": "<s>",
|
36 |
+
"clean_up_tokenization_spaces": false,
|
37 |
+
"eos_token": "</s>",
|
38 |
+
"legacy": true,
|
39 |
+
"model_max_length": 255,
|
40 |
+
"pad_token": "<s>",
|
41 |
+
"padding_side": "left",
|
42 |
+
"sp_model_kwargs": {},
|
43 |
+
"spaces_between_special_tokens": false,
|
44 |
+
"tokenizer_class": "LlamaTokenizer",
|
45 |
+
"unk_token": "<unk>",
|
46 |
+
"use_default_system_prompt": true
|
47 |
+
}
|