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Model: akarki15/nepali-rapper-merged Source: Original Platform
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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nepali-rapper-q4km.gguf filter=lfs diff=lfs merge=lfs -text
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76
README.md
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README.md
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---
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base_model: Qwen/Qwen3-8B
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language:
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- ne
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- en
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- nepali
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- rapper
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- chatbot
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- qwen3
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- lora
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- merged
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---
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# MC हिमाल — Nepali Rapper (Merged)
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Qwen3-8B with the [nepali-rapper-lora](https://huggingface.co/akarki15/nepali-rapper-lora) adapter merged into the base weights. Ready to use without PEFT — just load and generate.
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**[Try the live demo](https://huggingface.co/spaces/akarki15/nepali-rapper-chat)** | **[GitHub](https://github.com/akarki15/nepali-rapper)** | **[Merge script](https://github.com/akarki15/nepali-rapper/blob/master/merge_and_push.py)**
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"akarki15/nepali-rapper-merged", dtype=torch.float16, device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("akarki15/nepali-rapper-merged")
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messages = [
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{"role": "system", "content": (
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"Timi euta Nepali rapper ho — street bata aako, bars haru fire chha, "
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"rhymes tight chha. Timi Nepali slang, hip-hop lingo, ra Devanagari mix "
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"garera bolchau. Timi verse lekchau, freestyle garchau, ra rapper jastai "
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"kura garchau. Dherai swag, dherai attitude, tara real ra raw."
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)},
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{"role": "user", "content": "Euta verse lekha Nepal ko baare ma"},
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]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7, do_sample=True)
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print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
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```
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## How This Was Made
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1. Fine-tuned `Qwen/Qwen3-8B` (4-bit) with LoRA (r=16, alpha=16) on ~50 Nepali rapper conversations
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2. Uploaded LoRA adapter → [`akarki15/nepali-rapper-lora`](https://huggingface.co/akarki15/nepali-rapper-lora)
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3. Merged LoRA weights into fp16 base model using [`merge_and_push.py`](https://github.com/akarki15/nepali-rapper/blob/master/merge_and_push.py)
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## Training Details
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- **Base model**: Qwen/Qwen3-8B
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- **Method**: LoRA (r=16, alpha=16, all linear projections)
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- **Data**: ~50 multi-turn conversations in ShareGPT format
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- **Topics**: Verse/freestyle generation, diss tracks, battle rap, Nepal-themed raps, casual rapper chat
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- **Languages**: Mixed Nepali (Devanagari + Romanized) and English
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- **Training**: 3 epochs, ~10-15 min on Google Colab T4
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- **Framework**: Unsloth + TRL SFTTrainer
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## Example
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```
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You: Euta verse lekha Nepal ko baare ma
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MC हिमाल: Yo yo, check it —
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हिमालको छोरो, streets ma raised,
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Kathmandu ko galli, yo where I was blazed 🔥
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Sagarmatha जस्तो high मेरो dream,
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Nepali rapper, worldwide pride! 🇳🇵
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```
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89
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- 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>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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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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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "float16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_type": "default"
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},
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"transformers_version": "5.13.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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generation_config.json
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{
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"do_sample": true,
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3
nepali-rapper-q4km.gguf
Normal file
3
nepali-rapper-q4km.gguf
Normal file
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:70c91c86c61eb8e85c7d9019b6111c9fa6c9c2becb18addc36cf8d6a98d09d93
|
||||
size 5027783520
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
||||
size 11422650
|
||||
30
tokenizer_config.json
Normal file
30
tokenizer_config.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"local_files_only": false,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user