AI Observatory / Model Radar
Alpindale / alpindale/goliath-120b
Goliath 120B
A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale. Credits to - [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge...
6,144
Context
1,024
Max output
$3.75 / 1M
Prompt price
2023-11-10
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Alpindale | Input modalities | text |
|---|---|---|---|
| Output modalities | text | Prompt price | $3.75 / 1M |
| Completion price | $7.50 / 1M | Request price | N/A |
| Context length | 6,144 | Max completion tokens | 1,024 |
| Supported parameters | frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, temperature, top_a, top_k, top_logprobs, top_p | ||
Best for
alpindale/goliath-120b
Goliath 120B
A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale. Credits to - [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge...
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.