Text Generation
Safetensors
GGUF
English
llama
home-assistant
voice-assistant
automation
assistant
home
conversational
Instructions to use premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF", filename="tinyllama-1.1B-merged-F16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M
Use Docker
docker model run hf.co/premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M
- Ollama
How to use premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF with Ollama:
ollama run hf.co/premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M
- Unsloth Studio
How to use premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF to start chatting
- Docker Model Runner
How to use premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF with Docker Model Runner:
docker model run hf.co/premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M
- Lemonade
How to use premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull premrajreddy/Home-TinyLlama-1.1B-HomeAssist-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Home-TinyLlama-1.1B-HomeAssist-GGUF-Q4_K_M
List all available models
lemonade list
Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- chat_template.jinja +15 -0
- config.json +29 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +30 -0
- tinyllama-1.1B-merged-F16.gguf +3 -0
- tinyllama-1.1B-merged-Q4_K_M.gguf +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tinyllama-1.1B-merged-F16.gguf filter=lfs diff=lfs merge=lfs -text
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tinyllama-1.1B-merged-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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chat_template.jinja
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{% for message in messages %}
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{% if message['role'] == 'user' %}
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{{ '<|user|>
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' + message['content'] + eos_token }}
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{% elif message['role'] == 'system' %}
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{{ '<|system|>
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' + message['content'] + eos_token }}
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{% elif message['role'] == 'assistant' %}
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{{ '<|assistant|>
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' + message['content'] + eos_token }}
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{% endif %}
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{% if loop.last and add_generation_prompt %}
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{{ '<|assistant|>' }}
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{% endif %}
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{% endfor %}
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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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"head_dim": 64,
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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": 5632,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.55.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.55.0"
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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 sha256:29c455b19eacb1d990a33b366bf526283e65fbde447bc4a9130d621890f266d9
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size 2200119664
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special_tokens_map.json
ADDED
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tinyllama-1.1B-merged-F16.gguf
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:50c6a0c0e139107f5635ebd339ea47d6e2dc82ba8c30fa8781cc89b56e8ad3d4
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size 2201017792
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tinyllama-1.1B-merged-Q4_K_M.gguf
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2d9724455376180c2aad2b37f59af5d43bce80134602b92865555a20bd8e6d1
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size 667815360
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": null,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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| 26 |
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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| 31 |
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"bos_token": "<s>",
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| 32 |
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"clean_up_tokenization_spaces": false,
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| 33 |
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"eos_token": "</s>",
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| 34 |
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"extra_special_tokens": {},
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| 35 |
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"legacy": false,
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| 36 |
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"model_max_length": 2048,
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| 37 |
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"pad_token": "</s>",
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| 38 |
+
"padding_side": "right",
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| 39 |
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"sp_model_kwargs": {},
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| 40 |
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"tokenizer_class": "LlamaTokenizer",
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| 41 |
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"unk_token": "<unk>",
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| 42 |
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"use_default_system_prompt": false
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| 43 |
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}
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