Autotrain compatible Axolotl Base model:finetune:kakaocorp/... Base model:kakaocorp/kanana-1.... Conversational Dataset:train.jsonl Endpoints compatible Generated from trainer Instruct Llama Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/amphora/fc-reasoning-2.1b
Fc Reasoning 2.1B Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Fc Reasoning 2.1B Parameters and Internals
| LLM Name | Fc Reasoning 2.1B |
| Repository 🤗 | https://huggingface.co/amphora/fc-reasoning-2.1b |
| Base Model(s) | |
| Model Size | 2.1b |
| Required VRAM | 4.2 GB |
| Updated | 2025-09-15 |
| Maintainer | amphora |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.55.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128259 |
| Torch Data Type | bfloat16 |
Best Alternatives to Fc Reasoning 2.1B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Kanana 1.5 2.1B Instruct 2505 | 32K / 4.6 GB | 7158 | 30 |
| Kanana Nano 2.1B Instruct | 8K / 4.2 GB | 5254 | 68 |
| EcomGen 0.0.2v | 8K / 8.4 GB | 8 | 0 |
| Phi 3.5 Mini Instruct Bnb 4bit | 128K / 2.3 GB | 8382 | 13 |
| Phi 3.5 Pii Test 13 | 128K / 7.6 GB | 7 | 0 |
| ...Nano 2.1B Instruct Abliterated | 8K / 8.4 GB | 68 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than amphora/fc-reasoning-2.1b .
Rank the Fc Reasoning 2.1B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124