Text Generation
Transformers
Safetensors
llama
Generated from Trainer
trl
grpo
conversational
text-generation-inference
Instructions to use sravanthib/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sravanthib/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="sravanthib/test") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("sravanthib/test") model = AutoModelForCausalLM.from_pretrained("sravanthib/test", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use sravanthib/test with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sravanthib/test" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sravanthib/test", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/sravanthib/test
- SGLang
How to use sravanthib/test with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "sravanthib/test" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sravanthib/test", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "sravanthib/test" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sravanthib/test", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use sravanthib/test with Docker Model Runner:
docker model run hf.co/sravanthib/test
Add files using upload-large-folder tool
Browse files- chat_template.jinja +9 -0
- config.json +35 -0
- generation_config.json +9 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +2 -2
- tokenizer.json +2 -2
- tokenizer_config.json +74 -75
chat_template.jinja
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|system|>
|
| 2 |
+
' + message['content'] + '
|
| 3 |
+
' }}{% elif message['role'] == 'user' %}{{ '<|user|>
|
| 4 |
+
' + message['content'] + '
|
| 5 |
+
' }}{% elif message['role'] == 'assistant' %}{% if not loop.last %}{{ '<|assistant|>
|
| 6 |
+
' + message['content'] + eos_token + '
|
| 7 |
+
' }}{% else %}{{ '<|assistant|>
|
| 8 |
+
' + message['content'] + eos_token }}{% endif %}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|assistant|>
|
| 9 |
+
' }}{% endif %}{% endfor %}
|
config.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlamaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 128000,
|
| 8 |
+
"eos_token_id": 128001,
|
| 9 |
+
"head_dim": 128,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 4096,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 14336,
|
| 14 |
+
"max_position_embeddings": 131072,
|
| 15 |
+
"mlp_bias": false,
|
| 16 |
+
"model_type": "llama",
|
| 17 |
+
"num_attention_heads": 32,
|
| 18 |
+
"num_hidden_layers": 32,
|
| 19 |
+
"num_key_value_heads": 8,
|
| 20 |
+
"pretraining_tp": 1,
|
| 21 |
+
"rms_norm_eps": 1e-05,
|
| 22 |
+
"rope_scaling": {
|
| 23 |
+
"factor": 8.0,
|
| 24 |
+
"high_freq_factor": 4.0,
|
| 25 |
+
"low_freq_factor": 1.0,
|
| 26 |
+
"original_max_position_embeddings": 8192,
|
| 27 |
+
"rope_type": "llama3"
|
| 28 |
+
},
|
| 29 |
+
"rope_theta": 500000.0,
|
| 30 |
+
"tie_word_embeddings": false,
|
| 31 |
+
"torch_dtype": "bfloat16",
|
| 32 |
+
"transformers_version": "4.52.2",
|
| 33 |
+
"use_cache": true,
|
| 34 |
+
"vocab_size": 128264
|
| 35 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 128000,
|
| 4 |
+
"do_sample": true,
|
| 5 |
+
"eos_token_id": 128001,
|
| 6 |
+
"temperature": 0.6,
|
| 7 |
+
"top_p": 0.9,
|
| 8 |
+
"transformers_version": "4.52.2"
|
| 9 |
+
}
|
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c4b2c6aeb9a1dee924dda944d99f3e13215b019b1089d1b8064e90bbf2c662ce
|
| 3 |
+
size 4976764208
|
model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f0c774459b17fa0857a15183ca1e6b14e97e1e2ee67989f3097c77b54501f30a
|
| 3 |
+
size 4999802720
|
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:96c02f9feb9ab008112b577a507f588a42904a88032ba9e3c750d4ec46c57acd
|
| 3 |
+
size 4915916176
|
model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e10ab7ef166c6203dd517d3b509d5f963341b327cb6675f94b6450ec1c44f87c
|
| 3 |
+
size 1168204344
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 16060653568
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 233 |
+
"model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 287 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 296 |
+
"model.norm.weight": "model-00004-of-00004.safetensors"
|
| 297 |
+
}
|
| 298 |
+
}
|
special_tokens_map.json
CHANGED
|
@@ -7,14 +7,14 @@
|
|
| 7 |
"single_word": false
|
| 8 |
},
|
| 9 |
"eos_token": {
|
| 10 |
-
"content": "<|
|
| 11 |
"lstrip": false,
|
| 12 |
"normalized": false,
|
| 13 |
"rstrip": false,
|
| 14 |
"single_word": false
|
| 15 |
},
|
| 16 |
"pad_token": {
|
| 17 |
-
"content": "<
|
| 18 |
"lstrip": false,
|
| 19 |
"normalized": false,
|
| 20 |
"rstrip": false,
|
|
|
|
| 7 |
"single_word": false
|
| 8 |
},
|
| 9 |
"eos_token": {
|
| 10 |
+
"content": "<|end_of_text|>",
|
| 11 |
"lstrip": false,
|
| 12 |
"normalized": false,
|
| 13 |
"rstrip": false,
|
| 14 |
"single_word": false
|
| 15 |
},
|
| 16 |
"pad_token": {
|
| 17 |
+
"content": "<pad>",
|
| 18 |
"lstrip": false,
|
| 19 |
"normalized": false,
|
| 20 |
"rstrip": false,
|
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9400df98529060210393c40f08cb127f7c0df584338b3fbfdba8cf82a33c1ade
|
| 3 |
+
size 17210102
|
tokenizer_config.json
CHANGED
|
@@ -1,4 +1,5 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"added_tokens_decoder": {
|
| 3 |
"128000": {
|
| 4 |
"content": "<|begin_of_text|>",
|
|
@@ -17,20 +18,20 @@
|
|
| 17 |
"special": true
|
| 18 |
},
|
| 19 |
"128002": {
|
| 20 |
-
"content": "<
|
| 21 |
"lstrip": false,
|
| 22 |
"normalized": false,
|
| 23 |
"rstrip": false,
|
| 24 |
"single_word": false,
|
| 25 |
-
"special":
|
| 26 |
},
|
| 27 |
"128003": {
|
| 28 |
-
"content": "<
|
| 29 |
"lstrip": false,
|
| 30 |
"normalized": false,
|
| 31 |
"rstrip": false,
|
| 32 |
"single_word": false,
|
| 33 |
-
"special":
|
| 34 |
},
|
| 35 |
"128004": {
|
| 36 |
"content": "<|finetune_right_pad_id|>",
|
|
@@ -89,239 +90,239 @@
|
|
| 89 |
"special": true
|
| 90 |
},
|
| 91 |
"128011": {
|
| 92 |
-
"content": "<
|
| 93 |
"lstrip": false,
|
| 94 |
"normalized": false,
|
| 95 |
"rstrip": false,
|
| 96 |
"single_word": false,
|
| 97 |
-
"special":
|
| 98 |
},
|
| 99 |
"128012": {
|
| 100 |
-
"content": "<
|
| 101 |
"lstrip": false,
|
| 102 |
"normalized": false,
|
| 103 |
"rstrip": false,
|
| 104 |
"single_word": false,
|
| 105 |
-
"special":
|
| 106 |
},
|
| 107 |
"128013": {
|
| 108 |
-
"content": "<
|
| 109 |
"lstrip": false,
|
| 110 |
"normalized": false,
|
| 111 |
"rstrip": false,
|
| 112 |
"single_word": false,
|
| 113 |
-
"special":
|
| 114 |
},
|
| 115 |
"128014": {
|
| 116 |
-
"content": "<
|
| 117 |
"lstrip": false,
|
| 118 |
"normalized": false,
|
| 119 |
"rstrip": false,
|
| 120 |
"single_word": false,
|
| 121 |
-
"special":
|
| 122 |
},
|
| 123 |
"128015": {
|
| 124 |
-
"content": "<
|
| 125 |
"lstrip": false,
|
| 126 |
"normalized": false,
|
| 127 |
"rstrip": false,
|
| 128 |
"single_word": false,
|
| 129 |
-
"special":
|
| 130 |
},
|
| 131 |
"128016": {
|
| 132 |
-
"content": "<
|
| 133 |
"lstrip": false,
|
| 134 |
"normalized": false,
|
| 135 |
"rstrip": false,
|
| 136 |
"single_word": false,
|
| 137 |
-
"special":
|
| 138 |
},
|
| 139 |
"128017": {
|
| 140 |
-
"content": "<
|
| 141 |
"lstrip": false,
|
| 142 |
"normalized": false,
|
| 143 |
"rstrip": false,
|
| 144 |
"single_word": false,
|
| 145 |
-
"special":
|
| 146 |
},
|
| 147 |
"128018": {
|
| 148 |
-
"content": "<
|
| 149 |
"lstrip": false,
|
| 150 |
"normalized": false,
|
| 151 |
"rstrip": false,
|
| 152 |
"single_word": false,
|
| 153 |
-
"special":
|
| 154 |
},
|
| 155 |
"128019": {
|
| 156 |
-
"content": "<
|
| 157 |
"lstrip": false,
|
| 158 |
"normalized": false,
|
| 159 |
"rstrip": false,
|
| 160 |
"single_word": false,
|
| 161 |
-
"special":
|
| 162 |
},
|
| 163 |
"128020": {
|
| 164 |
-
"content": "<
|
| 165 |
"lstrip": false,
|
| 166 |
"normalized": false,
|
| 167 |
"rstrip": false,
|
| 168 |
"single_word": false,
|
| 169 |
-
"special":
|
| 170 |
},
|
| 171 |
"128021": {
|
| 172 |
-
"content": "<
|
| 173 |
"lstrip": false,
|
| 174 |
"normalized": false,
|
| 175 |
"rstrip": false,
|
| 176 |
"single_word": false,
|
| 177 |
-
"special":
|
| 178 |
},
|
| 179 |
"128022": {
|
| 180 |
-
"content": "<
|
| 181 |
"lstrip": false,
|
| 182 |
"normalized": false,
|
| 183 |
"rstrip": false,
|
| 184 |
"single_word": false,
|
| 185 |
-
"special":
|
| 186 |
},
|
| 187 |
"128023": {
|
| 188 |
-
"content": "<
|
| 189 |
"lstrip": false,
|
| 190 |
"normalized": false,
|
| 191 |
"rstrip": false,
|
| 192 |
"single_word": false,
|
| 193 |
-
"special":
|
| 194 |
},
|
| 195 |
"128024": {
|
| 196 |
-
"content": "<
|
| 197 |
"lstrip": false,
|
| 198 |
"normalized": false,
|
| 199 |
"rstrip": false,
|
| 200 |
"single_word": false,
|
| 201 |
-
"special":
|
| 202 |
},
|
| 203 |
"128025": {
|
| 204 |
-
"content": "<
|
| 205 |
"lstrip": false,
|
| 206 |
"normalized": false,
|
| 207 |
"rstrip": false,
|
| 208 |
"single_word": false,
|
| 209 |
-
"special":
|
| 210 |
},
|
| 211 |
"128026": {
|
| 212 |
-
"content": "<
|
| 213 |
"lstrip": false,
|
| 214 |
"normalized": false,
|
| 215 |
"rstrip": false,
|
| 216 |
"single_word": false,
|
| 217 |
-
"special":
|
| 218 |
},
|
| 219 |
"128027": {
|
| 220 |
-
"content": "<
|
| 221 |
"lstrip": false,
|
| 222 |
"normalized": false,
|
| 223 |
"rstrip": false,
|
| 224 |
"single_word": false,
|
| 225 |
-
"special":
|
| 226 |
},
|
| 227 |
"128028": {
|
| 228 |
-
"content": "<
|
| 229 |
"lstrip": false,
|
| 230 |
"normalized": false,
|
| 231 |
"rstrip": false,
|
| 232 |
"single_word": false,
|
| 233 |
-
"special":
|
| 234 |
},
|
| 235 |
"128029": {
|
| 236 |
-
"content": "<
|
| 237 |
"lstrip": false,
|
| 238 |
"normalized": false,
|
| 239 |
"rstrip": false,
|
| 240 |
"single_word": false,
|
| 241 |
-
"special":
|
| 242 |
},
|
| 243 |
"128030": {
|
| 244 |
-
"content": "<
|
| 245 |
"lstrip": false,
|
| 246 |
"normalized": false,
|
| 247 |
"rstrip": false,
|
| 248 |
"single_word": false,
|
| 249 |
-
"special":
|
| 250 |
},
|
| 251 |
"128031": {
|
| 252 |
-
"content": "<
|
| 253 |
"lstrip": false,
|
| 254 |
"normalized": false,
|
| 255 |
"rstrip": false,
|
| 256 |
"single_word": false,
|
| 257 |
-
"special":
|
| 258 |
},
|
| 259 |
"128032": {
|
| 260 |
-
"content": "<
|
| 261 |
"lstrip": false,
|
| 262 |
"normalized": false,
|
| 263 |
"rstrip": false,
|
| 264 |
"single_word": false,
|
| 265 |
-
"special":
|
| 266 |
},
|
| 267 |
"128033": {
|
| 268 |
-
"content": "<
|
| 269 |
"lstrip": false,
|
| 270 |
"normalized": false,
|
| 271 |
"rstrip": false,
|
| 272 |
"single_word": false,
|
| 273 |
-
"special":
|
| 274 |
},
|
| 275 |
"128034": {
|
| 276 |
-
"content": "<
|
| 277 |
"lstrip": false,
|
| 278 |
"normalized": false,
|
| 279 |
"rstrip": false,
|
| 280 |
"single_word": false,
|
| 281 |
-
"special":
|
| 282 |
},
|
| 283 |
"128035": {
|
| 284 |
-
"content": "<
|
| 285 |
"lstrip": false,
|
| 286 |
"normalized": false,
|
| 287 |
"rstrip": false,
|
| 288 |
"single_word": false,
|
| 289 |
-
"special":
|
| 290 |
},
|
| 291 |
"128036": {
|
| 292 |
-
"content": "<
|
| 293 |
"lstrip": false,
|
| 294 |
"normalized": false,
|
| 295 |
"rstrip": false,
|
| 296 |
"single_word": false,
|
| 297 |
-
"special":
|
| 298 |
},
|
| 299 |
"128037": {
|
| 300 |
-
"content": "<
|
| 301 |
"lstrip": false,
|
| 302 |
"normalized": false,
|
| 303 |
"rstrip": false,
|
| 304 |
"single_word": false,
|
| 305 |
-
"special":
|
| 306 |
},
|
| 307 |
"128038": {
|
| 308 |
-
"content": "<
|
| 309 |
"lstrip": false,
|
| 310 |
"normalized": false,
|
| 311 |
"rstrip": false,
|
| 312 |
"single_word": false,
|
| 313 |
-
"special":
|
| 314 |
},
|
| 315 |
"128039": {
|
| 316 |
-
"content": "<|
|
| 317 |
"lstrip": false,
|
| 318 |
"normalized": false,
|
| 319 |
"rstrip": false,
|
| 320 |
"single_word": false,
|
| 321 |
-
"special":
|
| 322 |
},
|
| 323 |
"128040": {
|
| 324 |
-
"content": "<|
|
| 325 |
"lstrip": false,
|
| 326 |
"normalized": false,
|
| 327 |
"rstrip": false,
|
|
@@ -2047,27 +2048,25 @@
|
|
| 2047 |
"rstrip": false,
|
| 2048 |
"single_word": false,
|
| 2049 |
"special": true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2050 |
}
|
| 2051 |
},
|
| 2052 |
"bos_token": "<|begin_of_text|>",
|
| 2053 |
-
"chat_template": [
|
| 2054 |
-
{
|
| 2055 |
-
"name": "default",
|
| 2056 |
-
"template": "{{bos_token}}{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"
|
| 2057 |
-
},
|
| 2058 |
-
{
|
| 2059 |
-
"name": "tool_use",
|
| 2060 |
-
"template": "{%- macro json_to_python_type(json_spec) %}\n{%- set basic_type_map = {\n \"string\": \"str\",\n \"number\": \"float\",\n \"integer\": \"int\",\n \"boolean\": \"bool\"\n} %}\n\n{%- if basic_type_map[json_spec.type] is defined %}\n {{- basic_type_map[json_spec.type] }}\n{%- elif json_spec.type == \"array\" %}\n {{- \"list[\" + json_to_python_type(json_spec|items) + \"]\"}}\n{%- elif json_spec.type == \"object\" %}\n {%- if json_spec.additionalProperties is defined %}\n {{- \"dict[str, \" + json_to_python_type(json_spec.additionalProperties) + ']'}}\n {%- else %}\n {{- \"dict\" }}\n {%- endif %}\n{%- elif json_spec.type is iterable %}\n {{- \"Union[\" }}\n {%- for t in json_spec.type %}\n {{- json_to_python_type({\"type\": t}) }}\n {%- if not loop.last %}\n {{- \",\" }} \n {%- endif %}\n {%- endfor %}\n {{- \"]\" }}\n{%- else %}\n {{- \"Any\" }}\n{%- endif %}\n{%- endmacro %}\n\n\n{{- bos_token }}\n{{- '<|im_start|>system\n' }}\n{{- \"You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> \" }}\n{%- for tool in tools %}\n {%- if tool.function is defined %}\n {%- set tool = tool.function %}\n {%- endif %}\n {{- '{\"type\": \"function\", \"function\": ' }}\n {{- '{\"name\": \"' + tool.name + '\", ' }}\n {{- '\"description\": \"' + tool.name + '(' }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {{- param_name + \": \" + json_to_python_type(param_fields) }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- if tool.return is defined %}\n {{- \" -> \" + json_to_python_type(tool.return) }}\n {%- endif %}\n {{- \" - \" + tool.description + \"\n\n\" }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {%- if loop.first %}\n {{- \" Args:\n\" }}\n {%- endif %}\n {{- \" \" + param_name + \"(\" + json_to_python_type(param_fields) + \"): \" + param_fields.description|trim }}\n {%- endfor %}\n {%- if tool.return is defined and tool.return.description is defined %}\n {{- \"\n Returns:\n \" + tool.return.description }}\n {%- endif %}\n {{- '\"' }}\n {{- ', \"parameters\": ' }}\n {%- if tool.parameters.properties | length == 0 %}\n {{- \"{}\" }}\n {%- else %}\n {{- tool.parameters|tojson }}\n {%- endif %}\n {{- \"}\" }}\n {%- if not loop.last %}\n {{- \"\n\" }}\n {%- endif %}\n{%- endfor %}\n{{- \" </tools>\" }}\n{{- 'Use the following pydantic model json schema for each tool call you will make: {\"properties\": {\"name\": {\"title\": \"Name\", \"type\": \"string\"}, \"arguments\": {\"title\": \"Arguments\", \"type\": \"object\"}}, \"required\": [\"name\", \"arguments\"], \"title\": \"FunctionCall\", \"type\": \"object\"}}\n' }}\n{{- \"For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:\n\" }}\n{{- \"<tool_call>\n\" }}\n{{- '{\"name\": <function-name>, \"arguments\": <args-dict>}\n' }}\n{{- '</tool_call><|im_end|>\n' }}\n{%- for message in messages %}\n {%- if message.role == \"user\" or message.role == \"system\" or (message.role == \"assistant\" and message.tool_calls is not defined) %}\n {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- for tool_call in message.tool_calls %}\n {{- '\n<tool_call>\n' }} {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '{' }}\n {{- '\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\"' }}\n {{- ', '}}\n {%- if tool_call.arguments is defined %}\n {{- '\"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments|tojson }}\n {%- endif %}\n {%- endif %}\n {{- '}' }}\n {{- '\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>tool\n' }}\n {%- endif %}\n {{- '<tool_response>\n' }}\n {{- message.content }}\n {%- if not loop.last %}\n {{- '\n</tool_response>\n' }}\n {%- else %}\n {{- '\n</tool_response>' }}\n {%- endif %}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>' }}\n {%- elif loop.last %}\n {{- '<|im_end|>' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n' }}\n{%- endif %}\n"
|
| 2061 |
-
}
|
| 2062 |
-
],
|
| 2063 |
"clean_up_tokenization_spaces": true,
|
| 2064 |
-
"eos_token": "<|
|
| 2065 |
"extra_special_tokens": {},
|
| 2066 |
"model_input_names": [
|
| 2067 |
"input_ids",
|
| 2068 |
"attention_mask"
|
| 2069 |
],
|
| 2070 |
"model_max_length": 131072,
|
| 2071 |
-
"pad_token": "<
|
| 2072 |
"tokenizer_class": "PreTrainedTokenizer"
|
| 2073 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"add_eos_token": false,
|
| 3 |
"added_tokens_decoder": {
|
| 4 |
"128000": {
|
| 5 |
"content": "<|begin_of_text|>",
|
|
|
|
| 18 |
"special": true
|
| 19 |
},
|
| 20 |
"128002": {
|
| 21 |
+
"content": "<|reserved_special_token_0|>",
|
| 22 |
"lstrip": false,
|
| 23 |
"normalized": false,
|
| 24 |
"rstrip": false,
|
| 25 |
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
},
|
| 28 |
"128003": {
|
| 29 |
+
"content": "<|reserved_special_token_1|>",
|
| 30 |
"lstrip": false,
|
| 31 |
"normalized": false,
|
| 32 |
"rstrip": false,
|
| 33 |
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
},
|
| 36 |
"128004": {
|
| 37 |
"content": "<|finetune_right_pad_id|>",
|
|
|
|
| 90 |
"special": true
|
| 91 |
},
|
| 92 |
"128011": {
|
| 93 |
+
"content": "<|reserved_special_token_3|>",
|
| 94 |
"lstrip": false,
|
| 95 |
"normalized": false,
|
| 96 |
"rstrip": false,
|
| 97 |
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
},
|
| 100 |
"128012": {
|
| 101 |
+
"content": "<|reserved_special_token_4|>",
|
| 102 |
"lstrip": false,
|
| 103 |
"normalized": false,
|
| 104 |
"rstrip": false,
|
| 105 |
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
},
|
| 108 |
"128013": {
|
| 109 |
+
"content": "<|reserved_special_token_5|>",
|
| 110 |
"lstrip": false,
|
| 111 |
"normalized": false,
|
| 112 |
"rstrip": false,
|
| 113 |
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
},
|
| 116 |
"128014": {
|
| 117 |
+
"content": "<|reserved_special_token_6|>",
|
| 118 |
"lstrip": false,
|
| 119 |
"normalized": false,
|
| 120 |
"rstrip": false,
|
| 121 |
"single_word": false,
|
| 122 |
+
"special": true
|
| 123 |
},
|
| 124 |
"128015": {
|
| 125 |
+
"content": "<|reserved_special_token_7|>",
|
| 126 |
"lstrip": false,
|
| 127 |
"normalized": false,
|
| 128 |
"rstrip": false,
|
| 129 |
"single_word": false,
|
| 130 |
+
"special": true
|
| 131 |
},
|
| 132 |
"128016": {
|
| 133 |
+
"content": "<|reserved_special_token_8|>",
|
| 134 |
"lstrip": false,
|
| 135 |
"normalized": false,
|
| 136 |
"rstrip": false,
|
| 137 |
"single_word": false,
|
| 138 |
+
"special": true
|
| 139 |
},
|
| 140 |
"128017": {
|
| 141 |
+
"content": "<|reserved_special_token_9|>",
|
| 142 |
"lstrip": false,
|
| 143 |
"normalized": false,
|
| 144 |
"rstrip": false,
|
| 145 |
"single_word": false,
|
| 146 |
+
"special": true
|
| 147 |
},
|
| 148 |
"128018": {
|
| 149 |
+
"content": "<|reserved_special_token_10|>",
|
| 150 |
"lstrip": false,
|
| 151 |
"normalized": false,
|
| 152 |
"rstrip": false,
|
| 153 |
"single_word": false,
|
| 154 |
+
"special": true
|
| 155 |
},
|
| 156 |
"128019": {
|
| 157 |
+
"content": "<|reserved_special_token_11|>",
|
| 158 |
"lstrip": false,
|
| 159 |
"normalized": false,
|
| 160 |
"rstrip": false,
|
| 161 |
"single_word": false,
|
| 162 |
+
"special": true
|
| 163 |
},
|
| 164 |
"128020": {
|
| 165 |
+
"content": "<|reserved_special_token_12|>",
|
| 166 |
"lstrip": false,
|
| 167 |
"normalized": false,
|
| 168 |
"rstrip": false,
|
| 169 |
"single_word": false,
|
| 170 |
+
"special": true
|
| 171 |
},
|
| 172 |
"128021": {
|
| 173 |
+
"content": "<|reserved_special_token_13|>",
|
| 174 |
"lstrip": false,
|
| 175 |
"normalized": false,
|
| 176 |
"rstrip": false,
|
| 177 |
"single_word": false,
|
| 178 |
+
"special": true
|
| 179 |
},
|
| 180 |
"128022": {
|
| 181 |
+
"content": "<|reserved_special_token_14|>",
|
| 182 |
"lstrip": false,
|
| 183 |
"normalized": false,
|
| 184 |
"rstrip": false,
|
| 185 |
"single_word": false,
|
| 186 |
+
"special": true
|
| 187 |
},
|
| 188 |
"128023": {
|
| 189 |
+
"content": "<|reserved_special_token_15|>",
|
| 190 |
"lstrip": false,
|
| 191 |
"normalized": false,
|
| 192 |
"rstrip": false,
|
| 193 |
"single_word": false,
|
| 194 |
+
"special": true
|
| 195 |
},
|
| 196 |
"128024": {
|
| 197 |
+
"content": "<|reserved_special_token_16|>",
|
| 198 |
"lstrip": false,
|
| 199 |
"normalized": false,
|
| 200 |
"rstrip": false,
|
| 201 |
"single_word": false,
|
| 202 |
+
"special": true
|
| 203 |
},
|
| 204 |
"128025": {
|
| 205 |
+
"content": "<|reserved_special_token_17|>",
|
| 206 |
"lstrip": false,
|
| 207 |
"normalized": false,
|
| 208 |
"rstrip": false,
|
| 209 |
"single_word": false,
|
| 210 |
+
"special": true
|
| 211 |
},
|
| 212 |
"128026": {
|
| 213 |
+
"content": "<|reserved_special_token_18|>",
|
| 214 |
"lstrip": false,
|
| 215 |
"normalized": false,
|
| 216 |
"rstrip": false,
|
| 217 |
"single_word": false,
|
| 218 |
+
"special": true
|
| 219 |
},
|
| 220 |
"128027": {
|
| 221 |
+
"content": "<|reserved_special_token_19|>",
|
| 222 |
"lstrip": false,
|
| 223 |
"normalized": false,
|
| 224 |
"rstrip": false,
|
| 225 |
"single_word": false,
|
| 226 |
+
"special": true
|
| 227 |
},
|
| 228 |
"128028": {
|
| 229 |
+
"content": "<|reserved_special_token_20|>",
|
| 230 |
"lstrip": false,
|
| 231 |
"normalized": false,
|
| 232 |
"rstrip": false,
|
| 233 |
"single_word": false,
|
| 234 |
+
"special": true
|
| 235 |
},
|
| 236 |
"128029": {
|
| 237 |
+
"content": "<|reserved_special_token_21|>",
|
| 238 |
"lstrip": false,
|
| 239 |
"normalized": false,
|
| 240 |
"rstrip": false,
|
| 241 |
"single_word": false,
|
| 242 |
+
"special": true
|
| 243 |
},
|
| 244 |
"128030": {
|
| 245 |
+
"content": "<|reserved_special_token_22|>",
|
| 246 |
"lstrip": false,
|
| 247 |
"normalized": false,
|
| 248 |
"rstrip": false,
|
| 249 |
"single_word": false,
|
| 250 |
+
"special": true
|
| 251 |
},
|
| 252 |
"128031": {
|
| 253 |
+
"content": "<|reserved_special_token_23|>",
|
| 254 |
"lstrip": false,
|
| 255 |
"normalized": false,
|
| 256 |
"rstrip": false,
|
| 257 |
"single_word": false,
|
| 258 |
+
"special": true
|
| 259 |
},
|
| 260 |
"128032": {
|
| 261 |
+
"content": "<|reserved_special_token_24|>",
|
| 262 |
"lstrip": false,
|
| 263 |
"normalized": false,
|
| 264 |
"rstrip": false,
|
| 265 |
"single_word": false,
|
| 266 |
+
"special": true
|
| 267 |
},
|
| 268 |
"128033": {
|
| 269 |
+
"content": "<|reserved_special_token_25|>",
|
| 270 |
"lstrip": false,
|
| 271 |
"normalized": false,
|
| 272 |
"rstrip": false,
|
| 273 |
"single_word": false,
|
| 274 |
+
"special": true
|
| 275 |
},
|
| 276 |
"128034": {
|
| 277 |
+
"content": "<|reserved_special_token_26|>",
|
| 278 |
"lstrip": false,
|
| 279 |
"normalized": false,
|
| 280 |
"rstrip": false,
|
| 281 |
"single_word": false,
|
| 282 |
+
"special": true
|
| 283 |
},
|
| 284 |
"128035": {
|
| 285 |
+
"content": "<|reserved_special_token_27|>",
|
| 286 |
"lstrip": false,
|
| 287 |
"normalized": false,
|
| 288 |
"rstrip": false,
|
| 289 |
"single_word": false,
|
| 290 |
+
"special": true
|
| 291 |
},
|
| 292 |
"128036": {
|
| 293 |
+
"content": "<|reserved_special_token_28|>",
|
| 294 |
"lstrip": false,
|
| 295 |
"normalized": false,
|
| 296 |
"rstrip": false,
|
| 297 |
"single_word": false,
|
| 298 |
+
"special": true
|
| 299 |
},
|
| 300 |
"128037": {
|
| 301 |
+
"content": "<|reserved_special_token_29|>",
|
| 302 |
"lstrip": false,
|
| 303 |
"normalized": false,
|
| 304 |
"rstrip": false,
|
| 305 |
"single_word": false,
|
| 306 |
+
"special": true
|
| 307 |
},
|
| 308 |
"128038": {
|
| 309 |
+
"content": "<|reserved_special_token_30|>",
|
| 310 |
"lstrip": false,
|
| 311 |
"normalized": false,
|
| 312 |
"rstrip": false,
|
| 313 |
"single_word": false,
|
| 314 |
+
"special": true
|
| 315 |
},
|
| 316 |
"128039": {
|
| 317 |
+
"content": "<|reserved_special_token_31|>",
|
| 318 |
"lstrip": false,
|
| 319 |
"normalized": false,
|
| 320 |
"rstrip": false,
|
| 321 |
"single_word": false,
|
| 322 |
+
"special": true
|
| 323 |
},
|
| 324 |
"128040": {
|
| 325 |
+
"content": "<|reserved_special_token_32|>",
|
| 326 |
"lstrip": false,
|
| 327 |
"normalized": false,
|
| 328 |
"rstrip": false,
|
|
|
|
| 2048 |
"rstrip": false,
|
| 2049 |
"single_word": false,
|
| 2050 |
"special": true
|
| 2051 |
+
},
|
| 2052 |
+
"128256": {
|
| 2053 |
+
"content": "<pad>",
|
| 2054 |
+
"lstrip": false,
|
| 2055 |
+
"normalized": false,
|
| 2056 |
+
"rstrip": false,
|
| 2057 |
+
"single_word": false,
|
| 2058 |
+
"special": true
|
| 2059 |
}
|
| 2060 |
},
|
| 2061 |
"bos_token": "<|begin_of_text|>",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2062 |
"clean_up_tokenization_spaces": true,
|
| 2063 |
+
"eos_token": "<|end_of_text|>",
|
| 2064 |
"extra_special_tokens": {},
|
| 2065 |
"model_input_names": [
|
| 2066 |
"input_ids",
|
| 2067 |
"attention_mask"
|
| 2068 |
],
|
| 2069 |
"model_max_length": 131072,
|
| 2070 |
+
"pad_token": "<pad>",
|
| 2071 |
"tokenizer_class": "PreTrainedTokenizer"
|
| 2072 |
}
|