Text Classification
Transformers
ONNX
Safetensors
GGUF
intent-classification
tool-routing
llama.cpp
onnxruntime
conversational
Instructions to use kon171verma/intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kon171verma/intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kon171verma/intent-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kon171verma/intent-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use kon171verma/intent-classifier 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 kon171verma/intent-classifier:Q4_K_M # Run inference directly in the terminal: llama cli -hf kon171verma/intent-classifier:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf kon171verma/intent-classifier:Q4_K_M # Run inference directly in the terminal: llama cli -hf kon171verma/intent-classifier:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf kon171verma/intent-classifier:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf kon171verma/intent-classifier:Q4_K_M
Use Docker
docker model run hf.co/kon171verma/intent-classifier:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use kon171verma/intent-classifier with Ollama:
ollama run hf.co/kon171verma/intent-classifier:Q4_K_M
- Unsloth Desktop
- Pi
How to use kon171verma/intent-classifier with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf kon171verma/intent-classifier:Q4_K_M
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": "kon171verma/intent-classifier:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use kon171verma/intent-classifier with Docker Model Runner:
docker model run hf.co/kon171verma/intent-classifier:Q4_K_M
- Lemonade
How to use kon171verma/intent-classifier with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull kon171verma/intent-classifier:Q4_K_M
Run and chat with the model
lemonade run user.intent-classifier-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use kon171verma/intent-classifier with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf kon171verma/intent-classifier:Q4_K_M
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 kon171verma/intent-classifier:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use kon171verma/intent-classifier with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf kon171verma/intent-classifier:Q4_K_M
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 "kon171verma/intent-classifier:Q4_K_M" \ --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"
Konark Verma commited on
Delete qwen3-0.6b
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qwen3-0.6b/onnx/qwen3-0.6b-fp32/model.onnx
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| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:f432cd3b9f32b1056db0dd17fcd9a38dfb4e3963eba4f004462f8829ff771047
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| 3 |
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size 1430583
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qwen3-0.6b/onnx/qwen3-0.6b-fp32/model.onnx_data
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@@ -1,3 +0,0 @@
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| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:d33748fe84cb389b503919c0c8a33f666189f2d68f50f03be8ea7bb7bdb95cd3
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| 3 |
-
size 3006529792
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qwen3-0.6b/onnx/qwen3-0.6b-static-int8/model.onnx
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@@ -1,3 +0,0 @@
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| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:3a9bc6aa28c0d07de962e9616c3a331d981ddf348bb7756a38f6c55bdcb21cf9
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| 3 |
-
size 3843823
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qwen3-0.6b/onnx/qwen3-0.6b-static-int8/model.onnx.data
DELETED
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@@ -1,3 +0,0 @@
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| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:2643495ff57580aa9d60e56704296df71783b6f5facb6eebf275981e3426b198
|
| 3 |
-
size 1949536256
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qwen3-0.6b/safetensors/chat_template.jinja
DELETED
|
@@ -1,89 +0,0 @@
|
|
| 1 |
-
{%- if tools %}
|
| 2 |
-
{{- '<|im_start|>system\n' }}
|
| 3 |
-
{%- if messages[0].role == 'system' %}
|
| 4 |
-
{{- messages[0].content + '\n\n' }}
|
| 5 |
-
{%- endif %}
|
| 6 |
-
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
-
{%- for tool in tools %}
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| 8 |
-
{{- "\n" }}
|
| 9 |
-
{{- tool | tojson }}
|
| 10 |
-
{%- endfor %}
|
| 11 |
-
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
-
{%- else %}
|
| 13 |
-
{%- if messages[0].role == 'system' %}
|
| 14 |
-
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
-
{%- endif %}
|
| 16 |
-
{%- endif %}
|
| 17 |
-
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
-
{%- for message in messages[::-1] %}
|
| 19 |
-
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
-
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
-
{%- set ns.multi_step_tool = false %}
|
| 22 |
-
{%- set ns.last_query_index = index %}
|
| 23 |
-
{%- endif %}
|
| 24 |
-
{%- endfor %}
|
| 25 |
-
{%- for message in messages %}
|
| 26 |
-
{%- if message.content is string %}
|
| 27 |
-
{%- set content = message.content %}
|
| 28 |
-
{%- else %}
|
| 29 |
-
{%- set content = '' %}
|
| 30 |
-
{%- endif %}
|
| 31 |
-
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
-
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
-
{%- elif message.role == "assistant" %}
|
| 34 |
-
{%- set reasoning_content = '' %}
|
| 35 |
-
{%- if message.reasoning_content is string %}
|
| 36 |
-
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
-
{%- else %}
|
| 38 |
-
{%- if '</think>' in content %}
|
| 39 |
-
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
-
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
-
{%- endif %}
|
| 42 |
-
{%- endif %}
|
| 43 |
-
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
-
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
-
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
-
{%- else %}
|
| 47 |
-
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
-
{%- endif %}
|
| 49 |
-
{%- else %}
|
| 50 |
-
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
-
{%- endif %}
|
| 52 |
-
{%- if message.tool_calls %}
|
| 53 |
-
{%- for tool_call in message.tool_calls %}
|
| 54 |
-
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
-
{{- '\n' }}
|
| 56 |
-
{%- endif %}
|
| 57 |
-
{%- if tool_call.function %}
|
| 58 |
-
{%- set tool_call = tool_call.function %}
|
| 59 |
-
{%- endif %}
|
| 60 |
-
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
-
{{- tool_call.name }}
|
| 62 |
-
{{- '", "arguments": ' }}
|
| 63 |
-
{%- if tool_call.arguments is string %}
|
| 64 |
-
{{- tool_call.arguments }}
|
| 65 |
-
{%- else %}
|
| 66 |
-
{{- tool_call.arguments | tojson }}
|
| 67 |
-
{%- endif %}
|
| 68 |
-
{{- '}\n</tool_call>' }}
|
| 69 |
-
{%- endfor %}
|
| 70 |
-
{%- endif %}
|
| 71 |
-
{{- '<|im_end|>\n' }}
|
| 72 |
-
{%- elif message.role == "tool" %}
|
| 73 |
-
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
-
{{- '<|im_start|>user' }}
|
| 75 |
-
{%- endif %}
|
| 76 |
-
{{- '\n<tool_response>\n' }}
|
| 77 |
-
{{- content }}
|
| 78 |
-
{{- '\n</tool_response>' }}
|
| 79 |
-
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
-
{{- '<|im_end|>\n' }}
|
| 81 |
-
{%- endif %}
|
| 82 |
-
{%- endif %}
|
| 83 |
-
{%- endfor %}
|
| 84 |
-
{%- if add_generation_prompt %}
|
| 85 |
-
{{- '<|im_start|>assistant\n' }}
|
| 86 |
-
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
-
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
-
{%- endif %}
|
| 89 |
-
{%- endif %}
|
|
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|
qwen3-0.6b/safetensors/config.json
DELETED
|
@@ -1,63 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"architectures": [
|
| 3 |
-
"Qwen3ForCausalLM"
|
| 4 |
-
],
|
| 5 |
-
"attention_bias": false,
|
| 6 |
-
"attention_dropout": 0.0,
|
| 7 |
-
"bos_token_id": 151643,
|
| 8 |
-
"dtype": "bfloat16",
|
| 9 |
-
"eos_token_id": 151645,
|
| 10 |
-
"head_dim": 128,
|
| 11 |
-
"hidden_act": "silu",
|
| 12 |
-
"hidden_size": 1024,
|
| 13 |
-
"initializer_range": 0.02,
|
| 14 |
-
"intermediate_size": 3072,
|
| 15 |
-
"layer_types": [
|
| 16 |
-
"full_attention",
|
| 17 |
-
"full_attention",
|
| 18 |
-
"full_attention",
|
| 19 |
-
"full_attention",
|
| 20 |
-
"full_attention",
|
| 21 |
-
"full_attention",
|
| 22 |
-
"full_attention",
|
| 23 |
-
"full_attention",
|
| 24 |
-
"full_attention",
|
| 25 |
-
"full_attention",
|
| 26 |
-
"full_attention",
|
| 27 |
-
"full_attention",
|
| 28 |
-
"full_attention",
|
| 29 |
-
"full_attention",
|
| 30 |
-
"full_attention",
|
| 31 |
-
"full_attention",
|
| 32 |
-
"full_attention",
|
| 33 |
-
"full_attention",
|
| 34 |
-
"full_attention",
|
| 35 |
-
"full_attention",
|
| 36 |
-
"full_attention",
|
| 37 |
-
"full_attention",
|
| 38 |
-
"full_attention",
|
| 39 |
-
"full_attention",
|
| 40 |
-
"full_attention",
|
| 41 |
-
"full_attention",
|
| 42 |
-
"full_attention",
|
| 43 |
-
"full_attention"
|
| 44 |
-
],
|
| 45 |
-
"max_position_embeddings": 40960,
|
| 46 |
-
"max_window_layers": 28,
|
| 47 |
-
"model_type": "qwen3",
|
| 48 |
-
"num_attention_heads": 16,
|
| 49 |
-
"num_hidden_layers": 28,
|
| 50 |
-
"num_key_value_heads": 8,
|
| 51 |
-
"pad_token_id": null,
|
| 52 |
-
"rms_norm_eps": 1e-06,
|
| 53 |
-
"rope_parameters": {
|
| 54 |
-
"rope_theta": 1000000,
|
| 55 |
-
"rope_type": "default"
|
| 56 |
-
},
|
| 57 |
-
"sliding_window": null,
|
| 58 |
-
"tie_word_embeddings": true,
|
| 59 |
-
"transformers_version": "5.14.1",
|
| 60 |
-
"use_cache": true,
|
| 61 |
-
"use_sliding_window": false,
|
| 62 |
-
"vocab_size": 151936
|
| 63 |
-
}
|
|
|
|
|
|
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|
qwen3-0.6b/safetensors/generation_config.json
DELETED
|
@@ -1,13 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token_id": 151643,
|
| 3 |
-
"do_sample": true,
|
| 4 |
-
"eos_token_id": [
|
| 5 |
-
151645,
|
| 6 |
-
151643
|
| 7 |
-
],
|
| 8 |
-
"pad_token_id": 151643,
|
| 9 |
-
"temperature": 0.6,
|
| 10 |
-
"top_k": 20,
|
| 11 |
-
"top_p": 0.95,
|
| 12 |
-
"transformers_version": "5.14.1"
|
| 13 |
-
}
|
|
|
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|
|
qwen3-0.6b/safetensors/model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:42ef0b12e675c0c05e9ecb50841c6812ea474b0c20497e25101c42e958e4bb7f
|
| 3 |
-
size 1192135096
|
|
|
|
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|
|
qwen3-0.6b/safetensors/tokenizer.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
-
size 11422650
|
|
|
|
|
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|
|
|
|
|
|
qwen3-0.6b/safetensors/tokenizer_config.json
DELETED
|
@@ -1,30 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"add_prefix_space": false,
|
| 3 |
-
"backend": "tokenizers",
|
| 4 |
-
"bos_token": null,
|
| 5 |
-
"clean_up_tokenization_spaces": false,
|
| 6 |
-
"eos_token": "<|im_end|>",
|
| 7 |
-
"errors": "replace",
|
| 8 |
-
"extra_special_tokens": [
|
| 9 |
-
"<|im_start|>",
|
| 10 |
-
"<|im_end|>",
|
| 11 |
-
"<|object_ref_start|>",
|
| 12 |
-
"<|object_ref_end|>",
|
| 13 |
-
"<|box_start|>",
|
| 14 |
-
"<|box_end|>",
|
| 15 |
-
"<|quad_start|>",
|
| 16 |
-
"<|quad_end|>",
|
| 17 |
-
"<|vision_start|>",
|
| 18 |
-
"<|vision_end|>",
|
| 19 |
-
"<|vision_pad|>",
|
| 20 |
-
"<|image_pad|>",
|
| 21 |
-
"<|video_pad|>"
|
| 22 |
-
],
|
| 23 |
-
"is_local": false,
|
| 24 |
-
"local_files_only": false,
|
| 25 |
-
"model_max_length": 131072,
|
| 26 |
-
"pad_token": "<|endoftext|>",
|
| 27 |
-
"split_special_tokens": false,
|
| 28 |
-
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
-
"unk_token": null
|
| 30 |
-
}
|
|
|
|
|
|
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