Instructions to use appvoid/v118 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use appvoid/v118 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf appvoid/v118:Q8_0 # Run inference directly in the terminal: llama cli -hf appvoid/v118:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf appvoid/v118:Q8_0 # Run inference directly in the terminal: llama cli -hf appvoid/v118:Q8_0
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 appvoid/v118:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf appvoid/v118:Q8_0
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 appvoid/v118:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf appvoid/v118:Q8_0
Use Docker
docker model run hf.co/appvoid/v118:Q8_0
- LM Studio
- Jan
- Ollama
How to use appvoid/v118 with Ollama:
ollama run hf.co/appvoid/v118:Q8_0
- Unsloth Desktop
- Pi
How to use appvoid/v118 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf appvoid/v118:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "appvoid/v118:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use appvoid/v118 with Docker Model Runner:
docker model run hf.co/appvoid/v118:Q8_0
- Lemonade
How to use appvoid/v118 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull appvoid/v118:Q8_0
Run and chat with the model
lemonade run user.v118-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use appvoid/v118 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf appvoid/v118:Q8_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default appvoid/v118:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use appvoid/v118 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf appvoid/v118:Q8_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "appvoid/v118:Q8_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Upload 7 files
Browse files- .gitattributes +1 -0
- chat_template.jinja +64 -0
- cloud-350m-v118-definitive-a050-q8_0.gguf +3 -0
- config.json +60 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +22 -0
.gitattributes
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@@ -33,3 +33,4 @@ 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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cloud-350m-v118-definitive-a050-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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chat_template.jinja
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{{- bos_token -}}
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{%- set keep_past_thinking = keep_past_thinking | default(false) -%}
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{%- set ns = namespace(system_prompt="") -%}
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{%- if messages[0]["role"] == "system" -%}
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{%- set sys_content = messages[0]["content"] -%}
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{%- if sys_content is not string -%}
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{%- for item in sys_content -%}
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{%- if item["type"] == "text" -%}
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{%- set ns.system_prompt = ns.system_prompt + item["text"] -%}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{%- set ns.system_prompt = sys_content -%}
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{%- endif -%}
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{%- set messages = messages[1:] -%}
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{%- endif -%}
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{%- if tools -%}
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{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
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{%- for tool in tools -%}
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{%- if tool is not string -%}
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{%- set tool = tool | tojson -%}
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{%- endif -%}
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{%- set ns.system_prompt = ns.system_prompt + tool -%}
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{%- if not loop.last -%}
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{%- set ns.system_prompt = ns.system_prompt + ", " -%}
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{%- endif -%}
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{%- endfor -%}
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{%- set ns.system_prompt = ns.system_prompt + "]" -%}
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{%- endif -%}
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{%- if ns.system_prompt -%}
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{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
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{%- endif -%}
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{%- set ns.last_assistant_index = -1 -%}
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{%- for message in messages -%}
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{%- if message["role"] == "assistant" -%}
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{%- set ns.last_assistant_index = loop.index0 -%}
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{%- endif -%}
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{%- endfor -%}
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{%- for message in messages -%}
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{{- "<|im_start|>" + message["role"] + "\n" -}}
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{%- set content = message["content"] -%}
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{%- if content is not string -%}
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{%- set ns.content = "" -%}
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{%- for item in content -%}
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{%- if item["type"] == "image" -%}
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{%- set ns.content = ns.content + "<image>" -%}
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{%- elif item["type"] == "text" -%}
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{%- set ns.content = ns.content + item["text"] -%}
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{%- else -%}
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{%- set ns.content = ns.content + item | tojson -%}
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{%- endfor -%}
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{%- set content = ns.content -%}
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{%- endif -%}
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{%- if message["role"] == "assistant" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}
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{%- if "</think>" in content -%}
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{%- set content = content.split("</think>")[-1] | trim -%}
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{%- endif -%}
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{%- endif -%}
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{{- content + "<|im_end|>\n" -}}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{- "<|im_start|>assistant\n" -}}
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{%- endif -%}
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cloud-350m-v118-definitive-a050-q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5f6e674ffc2ae3af2fa983113d222dfd3e834c6b3d99fa8bc84f0dcfa48c69c
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size 379216992
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config.json
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{
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"architectures": [
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"Lfm2ForCausalLM"
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],
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"block_auto_adjust_ff_dim": true,
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"block_dim": 1024,
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"block_ffn_dim_multiplier": 1.0,
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"block_mlp_init_scale": 1.0,
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"block_multiple_of": 256,
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"block_norm_eps": 1e-05,
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"block_out_init_scale": 1.0,
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"block_use_swiglu": true,
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"block_use_xavier_init": true,
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"bos_token_id": 1,
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"conv_L_cache": 3,
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"conv_bias": false,
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"conv_dim": 1024,
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"conv_use_xavier_init": true,
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"dtype": "bfloat16",
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"eos_token_id": 7,
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"full_attn_idxs": null,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 6656,
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"layer_types": [
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"full_attention",
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"conv",
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"full_attention",
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"conv",
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"full_attention",
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"conv"
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],
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"max_position_embeddings": 128000,
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"model_type": "lfm2",
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"norm_eps": 1e-05,
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"num_attention_heads": 16,
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"num_heads": 16,
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"num_hidden_layers": 16,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.12.1",
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"use_cache": false,
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"use_pos_enc": true,
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"vocab_size": 65536
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 7,
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"pad_token_id": 0,
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"transformers_version": "5.12.1"
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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 sha256:300f85fd16eaa27d16e51fc9e90e16b6c97437d197a91fcd4f84dd80620b4d7e
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size 708984464
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tokenizer.json
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"extra_special_tokens": [],
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"is_local": true,
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"legacy": false,
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"local_files_only": false,
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 1000000000000000019884624838656,
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"model_specific_special_tokens": {},
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"pad_token": "<|pad|>",
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"sp_model_kwargs": {},
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| 18 |
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"spaces_between_special_tokens": false,
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"tokenizer_class": "TokenizersBackend",
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"use_default_system_prompt": false,
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| 21 |
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"use_fast": true
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}
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