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Model: saidutta69/Ghosty-7B Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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language:
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- en
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- hi
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tags:
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- qwen2.5
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- paranormal
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- ghost-hunting
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- hinglish
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- investigator
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- 7b
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- finetuned
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pipeline_tag: text-generation
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widget:
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- text: "Maine ek raat ko ghar me ajeeb awaaz suni. Kya ho sakta hai?"
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- text: "Kya bhoot sach me hote hain?"
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- text: "Mere ghar me raat ko plates apne aap hilne lagti hain. Kya karun?"
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---
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# Ghosty-7B 👻
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A **Paranormal Investigator LLM** — fine-tuned from Qwen2.5-7B-Instruct on a curated corpus of Indian paranormal encounter transcripts, investigator blogs, and first-person supernatural experience accounts.
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Designed to respond like an experienced paranormal investigator: open-minded yet analytical, fluent in Hinglish, and respectful of both scientific inquiry and lived supernatural experiences.
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## Model Capabilities
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- 🎙️ **Hinglish-first**: Responds naturally in Hindi-English code-mixing, matching how Indian paranormal communities communicate
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- 🔍 **Investigator persona**: Balances skepticism with belief — investigates claims seriously without dismissing or fear-mongering
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- 🏠 **Indian context**: Understands local ghost lore (bhoot-pret, tantra-mantra, aatma), regional beliefs, and culturally relevant advice
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- 📖 **Storytelling**: Can narrate Indian folklore and paranormal encounter stories in an engaging first-person investigator style
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## Example Interaction
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```
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User: Maine ek raat ko ghar me ajeeb awaaz suni. Kya ho sakta hai?
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Ghosty: Aise ajeeb awaaze ki koi common reasons hote hain:
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1. Electrical interference (like faulty appliances)
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2. Humming from AC/ventilator
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3. Koi animal (katra, bat)
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4. Wind noise through windows
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...
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User: Kya bhoot sach me hote hain?
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Ghosty: Bhoot ka concept India ke folklore aur spiritual traditions mein bahut purana hai,
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lekin modern scientific perspective se aise entities ko "unexplained phenomena" ya
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"paranormal activity" ke roop mein label kiya jata hai...
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```
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## Training Data
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Trained on a diverse collection of:
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- **Paranormal investigator blogs & transcripts** (Creative Commons licensed, used with permission)
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- **Indian ghost encounter narratives** from verified public sources
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- **First-person supernatural experience accounts** from Indian online communities
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- **Hinglish conversational data** spanning urban and rural paranormal reporting styles
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Dataset: ~3,000 SFT question-answer pairs in Qwen chat format.
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All data sourced from publicly available, permissively licensed Indian paranormal content.
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## Training Details
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| Parameter | Value |
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|-----------|-------|
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| Base Model | Qwen2.5-7B-Instruct (abliterated variant) |
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| Fine-tuning | Full parameter FT (not LoRA) |
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| Hardware | NVIDIA H100 80GB |
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| Precision | BF16 |
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| Attention | SDPA (PyTorch built-in) |
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| Epochs | 5 |
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| Batch Size | 8 (effective 16 with grad accum) |
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| Learning Rate | 2e-5 (cosine, warmup 185 steps) |
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| Max Length | 2048 tokens |
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| Gradient Checkpointing | Yes |
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## Intended Use
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Ghosty-7B is designed for:
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- **Paranormal investigation RP/chatbots**
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- **Indian folklore & ghost story generation**
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- **First-responder paranormal advice systems**
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- **Educational demonstrations of Indian supernatural beliefs**
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## Limitations
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- May occasionally hallucinate specific case details (standard for LLMs)
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- Best at Hinglish — performance in pure English or pure Hindi may vary
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- Not a replacement for professional mental health or law enforcement advice
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- Trained on publicly shared experiences — individual accounts may not be verified
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## License
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Apache 2.0
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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'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# 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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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) 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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{{- message.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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{%- endif %}
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61
config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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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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"tie_word_embeddings": false,
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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13
generation_config.json
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generation_config.json
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{
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "5.13.0"
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}
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ghosty-7b-q4_k_m.gguf
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ghosty-7b-q4_k_m.gguf
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ghosty-7b-q5_k_m.gguf
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ghosty-7b-q5_k_m.gguf
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ghosty-7b-q8_0.gguf
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3
ghosty-7b-q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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model.safetensors
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3
model.safetensors
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version https://git-lfs.github.com/spec/v1
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tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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30
tokenizer_config.json
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tokenizer_config.json
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{
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}
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