630978b916ea68cec626270a745b3a5fd952ec20565007b4caab048ecc23ded0
Browse files- README.md +53 -3
- config.json +35 -0
- model.safetensors +3 -0
- model.safetensors.index.json +566 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +84 -0
README.md
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---
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---
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base_model: mlx-community/llm-jp-3-1.8b-instruct
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language:
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- en
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- ja
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library_name: transformers
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- mlx
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- mlx
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programming_language:
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- C
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- C++
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- C#
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- Go
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- Java
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- JavaScript
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- Lua
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- PHP
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- Python
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- Ruby
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- Rust
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- Scala
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- TypeScript
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inference: false
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---
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# thr3a/llm-jp-3-1.8b-instruct-mlx
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The Model [thr3a/llm-jp-3-1.8b-instruct-mlx](https://huggingface.co/thr3a/llm-jp-3-1.8b-instruct-mlx) was converted to MLX format from [mlx-community/llm-jp-3-1.8b-instruct](https://huggingface.co/mlx-community/llm-jp-3-1.8b-instruct) using mlx-lm version **0.18.2**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("thr3a/llm-jp-3-1.8b-instruct-mlx")
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prompt="hello"
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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config.json
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{
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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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"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": 7168,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"pretraining_tp": 1,
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"quantization": {
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"group_size": 128,
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"bits": 8
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},
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"quantization_config": {
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"group_size": 128,
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"bits": 8
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},
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size": 99584
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d733fa8ffdb21bac9c4650054273d1a47850a5a828188053a1d823a18741b8ec
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size 1926137141
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model.safetensors.index.json
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{
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"metadata": {
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"total_size": 1926074368
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},
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special_tokens_map.json
ADDED
@@ -0,0 +1,51 @@
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|
1 |
+
{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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"content": "</s>",
|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
+
},
|
30 |
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"pad_token": {
|
31 |
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"content": "<PAD|LLM-jp>",
|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
36 |
+
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|
37 |
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"sep_token": {
|
38 |
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"content": "<SEP|LLM-jp>",
|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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"unk_token": {
|
45 |
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|
46 |
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|
47 |
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|
48 |
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"rstrip": false,
|
49 |
+
"single_word": false
|
50 |
+
}
|
51 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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|
tokenizer_config.json
ADDED
@@ -0,0 +1,84 @@
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|
1 |
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|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
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|
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|
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|
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|
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|
12 |
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|
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|
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|
16 |
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|
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|
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
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|
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|
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|
28 |
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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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|
35 |
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|
36 |
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|
37 |
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|
38 |
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|
40 |
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|
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|
42 |
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|
43 |
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|
44 |
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45 |
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|
46 |
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|
47 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
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|
52 |
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|
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|
54 |
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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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|
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|
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|
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|
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|
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|
67 |
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|
68 |
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}
|
69 |
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},
|
70 |
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"bos_token": "<s>",
|
71 |
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|
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|
73 |
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"cls_token": "<CLS|LLM-jp>",
|
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|
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|
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|
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"tokenizer_class": "PreTrainedTokenizerFast",
|
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"unk_token": "<unk>"
|
84 |
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}
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