Initial release of FF_3 2.02B

README.md

@@ -1,3 +1,78 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- gpt2
+- causal-lm
+- ff-llm
+---
+
+# FF_3 — FF-LLM 2.02B
+
+FF_3 is a 2.02B parameter language model trained from scratch.
+
+## Model Details
+- **Architecture**: GPT-2 decoder-only (custom)
+- **Parameters**: 2,022,739,072
+- **Vocabulary**: 50,257 (GPT-2 BPE tokenizer)
+- **Context length**: 2,048 tokens
+- **Training**: From scratch on 90B tokens
+
+## Training Pipeline
+1. **Pretraining**: 90B tokens (web + STEM data)
+2. **SFT**: 760K examples + 100K high-quality examples
+3. **DPO**: 38,863 preference pairs
+4. **Distillation**: 20K examples from Qwen2.5-32B teacher
+
+## Prompt Format
+```
+### System:
+You are FF-LLM, a helpful assistant.
+
+### Instruction:
+{your question here}
+
+### Response:
+```
+
+## Usage with Transformers
+
+```python
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+model = GPT2LMHeadModel.from_pretrained("ff-llm/FF_3")
+tokenizer = GPT2Tokenizer.from_pretrained("ff-llm/FF_3")
+
+prompt = (
+    "### System:\nYou are FF-LLM, a helpful assistant.\n\n"
+    "### Instruction:\nWhat is the capital of France?\n\n### Response:\n"
+)
+input_ids = tokenizer.encode(prompt, return_tensors="pt")
+output = model.generate(
+    input_ids, max_new_tokens=256, do_sample=True,
+    temperature=0.7, top_p=0.9,
+    eos_token_id=tokenizer.eos_token_id,
+    pad_token_id=tokenizer.eos_token_id,
+)
+print(tokenizer.decode(output[0][input_ids.shape[1]:], skip_special_tokens=True))
+```
+
+## Usage with Ollama
+```bash
+ollama run ff-llm/FF_3
+```
+
+## Limitations
+- Weak mathematical reasoning
+- May hallucinate on factual questions
+- English only
+
+## Training Cost
+~\,000 total compute cost
+Trained by a single researcher
+
+## License
+Apache 2.0

config.json

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+{
+  "architectures": ["GPT2LMHeadModel"],
+  "model_type": "gpt2",
+  "vocab_size": 50257,
+  "n_embd": 2048,
+  "n_head": 16,
+  "n_inner": 8192,
+  "n_layer": 38,
+  "n_positions": 2048,
+  "n_ctx": 2048,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "activation_function": "gelu_new",
+  "attn_pdrop": 0.0,
+  "embd_pdrop": 0.0,
+  "resid_pdrop": 0.0,
+  "layer_norm_epsilon": 1e-05,
+  "initializer_range": 0.02,
+  "torch_dtype": "bfloat16",
+  "use_cache": true,
+  "tie_word_embeddings": true
+}

generation_config.json

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+{
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "pad_token_id": 50256,
+  "temperature": 0.7,
+  "top_p": 0.9,
+  "repetition_penalty": 1.1,
+  "max_new_tokens": 512,
+  "do_sample": true
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:245872baac62fb882200544b377f6225ef25fa067b0e3914f33468d5e58becb3
+size 4247379640

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 1024,
+  "pad_token": null,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}