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Model: liamka/sf-100
Source: Original Platform

README.md

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+---
+tags:
+- text-generation-inference
+- transformers
+- qwen2
+license: apache-2.0
+language:
+- en
+---
+
+# sf-100
+
+Conversational fine-tune of Qwen2.5-7B-Instruct, supervised-fine-tuned Hugging Face TRL.
+
+## Model details
+- **Architecture:** Qwen2 (7B)
+- **Parameters:** ~7.6B (reported as 8B in repo metadata)
+- **Precision:** BF16 merged weights, trained on top of a 4-bit bnb-quantized base
+- **License:** Apache-2.0
+- **Language:** Multi
+- **Developed by:** liamka
+
+## Intended use
+
+General-purpose conversational assistant — single- and multi-turn chat.
+
+**Not suitable for** safety-critical settings (medical, legal, financial advice), non-English input (not evaluated), or
+high-stakes factual lookup without verification.
+
+## Usage
+
+### Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "liamka/sf-100"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+messages = [{"role": "user", "content": "Hi, who are you?"}]
+inputs = tokenizer.apply_chat_template(
+    messages, add_generation_prompt=True, return_tensors="pt"
+).to(model.device)
+
+out = model.generate(inputs, max_new_tokens=256, do_sample=True, temperature=0.7, top_p=0.9)
+print(tokenizer.decode(out[0][inputs.shape[-1]:], skip_special_tokens=True))
+```
+
+## Training
+
+- **Framework:** Unsloth + TRL (`SFTTrainer`)
+- **Method:** Supervised fine-tuning on top of Qwen2.5-7B-Instruct
+- **No RLHF / DPO** applied
+
+Dataset, step count and hyperparameters are not published.
+
+## Limitations
+
+- Inherits biases and knowledge cutoff from Qwen2.5-7B-Instruct.
+- SFT only — no preference optimisation, so safety and refusal behaviour matches the base or weaker.
+- Can hallucinate. Verify factual claims.
+- Evaluated only informally; no benchmark numbers reported.
+
+## Acknowledgements
+
+- [Qwen2.5](https://huggingface.co/Qwen) — Alibaba
+- [TRL](https://github.com/huggingface/trl) — Hugging Face