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Browse files- README.md +82 -0
- config.json +25 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +297 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +42 -0
README.md
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---
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license: apache-2.0
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---
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---
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- mistral
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- instruct
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- bggpt
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- insait
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language:
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- bg
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- en
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library_name: transformers
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pipeline_tag: text-generation
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license: apache-2.0
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---
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# INSAIT-Institute/BgGPT-7B-Instruct-v0.2
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/637e1f8cf7e01589cc17bf7e/p6d0YFHjWCQ3S12jWqO1m.png)
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Meet BgGPT-7B, a Bulgarian language model trained from mistralai/Mistral-7B-v0.1. BgGPT is distributed under Apache 2.0 license.
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This model was created by [`INSAIT Institute`](https://insait.ai/), part of Sofia University, in Sofia, Bulgaria.
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This is an improved version of the model - v0.2.
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## Model description
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The model is continously pretrained to gain its Bulgarian language and culture capabilities using multiple datasets, including Bulgarian web crawl data, a range of specialized Bulgarian datasets sourced by INSAIT Institute, and machine translations of popular English datasets.
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This Bulgarian data was augmented with English datasets to retain English and logical reasoning skills.
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The model's tokenizer has been extended to allow for a more efficient encoding of Bulgarian words written in Cyrillic.
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This not only increases throughput of Cyrillic text but also performance.
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## Instruction format
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In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[/INST]` tokens.
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The very first instruction should begin with a begin of sequence token `<s>`. Following instructions should not.
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The assistant generation will be ended by the end-of-sequence token.
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E.g.
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```
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text = "<s>[INST] Кога е основан Софийският университет? [/INST]"
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"Софийският университет „Св. Климент Охридски“ е създаден на 1 октомври 1888 г.</s> "
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"[INST] Кой го е основал? [/INST]"
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```
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This format is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating) via the `apply_chat_template()` method:
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## Benchmarks
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The model comes with a set of Benchmarks that are translations of the corresponding English-benchmarks. These are provided at [`https://github.com/insait-institute/lm-evaluation-harness-bg`](https://github.com/insait-institute/lm-evaluation-harness-bg)
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As this is an improved version over version 0.1 of the same model, we include benchmark comparisons.
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## Summary
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- **Finetuned from:** [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
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- **Model type:** Causal decoder-only transformer language model
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- **Language:** Bulgarian and English
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- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0.html)
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- **Contact:** [bggpt@insait.ai](mailto:bggpt@insait.ai)
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## Use in 🤗Transformers
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First install direct dependencies:
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```
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pip install transformers torch accelerate
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```
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If you want faster inference using flash-attention2, you need to install these dependencies:
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```bash
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pip install packaging ninja
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pip install flash-attn
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```
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Then load the model in transformers:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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model="INSAIT-Institute/BgGPT-7B-Instruct-v0.2",
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device_map="auto",
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torch_dtype=torch.bfloat16,
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use_flash_attn_2=True # optional
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)
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```
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## Use with GGML / llama.cpp
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The model in GGUF format [INSAIT-Institute/BgGPT-7B-Instruct-v0.2-GGUF](https://huggingface.co/INSAIT-Institute/BgGPT-7B-Instruct-v0.2-GGUF)
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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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": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 38000
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}
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model-00001-of-00002.safetensors
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model.safetensors.index.json
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248 |
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"model.layers.4.self_attn.q_proj.weight" : "model-00001-of-00002.safetensors",
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249 |
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"model.layers.4.self_attn.v_proj.weight" : "model-00001-of-00002.safetensors",
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250 |
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"model.layers.5.input_layernorm.weight" : "model-00001-of-00002.safetensors",
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251 |
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"model.layers.5.mlp.down_proj.weight" : "model-00001-of-00002.safetensors",
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252 |
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"model.layers.5.mlp.gate_proj.weight" : "model-00001-of-00002.safetensors",
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253 |
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"model.layers.5.mlp.up_proj.weight" : "model-00001-of-00002.safetensors",
|
254 |
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"model.layers.5.post_attention_layernorm.weight" : "model-00001-of-00002.safetensors",
|
255 |
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"model.layers.5.self_attn.k_proj.weight" : "model-00001-of-00002.safetensors",
|
256 |
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"model.layers.5.self_attn.o_proj.weight" : "model-00001-of-00002.safetensors",
|
257 |
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"model.layers.5.self_attn.q_proj.weight" : "model-00001-of-00002.safetensors",
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258 |
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"model.layers.5.self_attn.v_proj.weight" : "model-00001-of-00002.safetensors",
|
259 |
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"model.layers.6.input_layernorm.weight" : "model-00001-of-00002.safetensors",
|
260 |
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"model.layers.6.mlp.down_proj.weight" : "model-00001-of-00002.safetensors",
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261 |
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"model.layers.6.mlp.gate_proj.weight" : "model-00001-of-00002.safetensors",
|
262 |
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"model.layers.6.mlp.up_proj.weight" : "model-00001-of-00002.safetensors",
|
263 |
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"model.layers.6.post_attention_layernorm.weight" : "model-00001-of-00002.safetensors",
|
264 |
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"model.layers.6.self_attn.k_proj.weight" : "model-00001-of-00002.safetensors",
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265 |
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"model.layers.6.self_attn.o_proj.weight" : "model-00001-of-00002.safetensors",
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266 |
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"model.layers.6.self_attn.q_proj.weight" : "model-00001-of-00002.safetensors",
|
267 |
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"model.layers.6.self_attn.v_proj.weight" : "model-00001-of-00002.safetensors",
|
268 |
+
"model.layers.7.input_layernorm.weight" : "model-00001-of-00002.safetensors",
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269 |
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"model.layers.7.mlp.down_proj.weight" : "model-00001-of-00002.safetensors",
|
270 |
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"model.layers.7.mlp.gate_proj.weight" : "model-00001-of-00002.safetensors",
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271 |
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"model.layers.7.mlp.up_proj.weight" : "model-00001-of-00002.safetensors",
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272 |
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"model.layers.7.post_attention_layernorm.weight" : "model-00001-of-00002.safetensors",
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273 |
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"model.layers.7.self_attn.k_proj.weight" : "model-00001-of-00002.safetensors",
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274 |
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"model.layers.7.self_attn.o_proj.weight" : "model-00001-of-00002.safetensors",
|
275 |
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"model.layers.7.self_attn.q_proj.weight" : "model-00001-of-00002.safetensors",
|
276 |
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"model.layers.7.self_attn.v_proj.weight" : "model-00001-of-00002.safetensors",
|
277 |
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"model.layers.8.input_layernorm.weight" : "model-00001-of-00002.safetensors",
|
278 |
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"model.layers.8.mlp.down_proj.weight" : "model-00001-of-00002.safetensors",
|
279 |
+
"model.layers.8.mlp.gate_proj.weight" : "model-00001-of-00002.safetensors",
|
280 |
+
"model.layers.8.mlp.up_proj.weight" : "model-00001-of-00002.safetensors",
|
281 |
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"model.layers.8.post_attention_layernorm.weight" : "model-00001-of-00002.safetensors",
|
282 |
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"model.layers.8.self_attn.k_proj.weight" : "model-00001-of-00002.safetensors",
|
283 |
+
"model.layers.8.self_attn.o_proj.weight" : "model-00001-of-00002.safetensors",
|
284 |
+
"model.layers.8.self_attn.q_proj.weight" : "model-00001-of-00002.safetensors",
|
285 |
+
"model.layers.8.self_attn.v_proj.weight" : "model-00001-of-00002.safetensors",
|
286 |
+
"model.layers.9.input_layernorm.weight" : "model-00001-of-00002.safetensors",
|
287 |
+
"model.layers.9.mlp.down_proj.weight" : "model-00001-of-00002.safetensors",
|
288 |
+
"model.layers.9.mlp.gate_proj.weight" : "model-00001-of-00002.safetensors",
|
289 |
+
"model.layers.9.mlp.up_proj.weight" : "model-00001-of-00002.safetensors",
|
290 |
+
"model.layers.9.post_attention_layernorm.weight" : "model-00001-of-00002.safetensors",
|
291 |
+
"model.layers.9.self_attn.k_proj.weight" : "model-00001-of-00002.safetensors",
|
292 |
+
"model.layers.9.self_attn.o_proj.weight" : "model-00001-of-00002.safetensors",
|
293 |
+
"model.layers.9.self_attn.q_proj.weight" : "model-00001-of-00002.safetensors",
|
294 |
+
"model.layers.9.self_attn.v_proj.weight" : "model-00001-of-00002.safetensors",
|
295 |
+
"model.norm.weight" : "model-00002-of-00002.safetensors"
|
296 |
+
}
|
297 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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|
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|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
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
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
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|
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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": false
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": false
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": false
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<s>",
|
31 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": true,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": "<unk>",
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|